Summary We are the public body that looks after England's historic environment. We champion historic places, helping people understand, value and care for them. Historic England have a fantastic opportunity for you to join us as a Senior Building Conservation Advisor as part of our Technical Conservation Team to support the team's role as a centre of specialist knowledge and research in the conservation of historic buildings. We are looking for a good team player with wide experience in applied building conservation, combined with intellectual curiosity and a creative approach to problem solving, to help deliver our evidence-based advice and guidance on caring for the built heritage. Within the team's wider role, we are seeking a candidate specialising in mortars, plasters and renders in conservation, and conservation of earthen materials. This is a unique opportunity to join a small, highly motivated and high-achieving team working alongside colleagues and industry experts with a wealth of knowledge at their fingertips. This is a Part Time, Permanent position working 21.6 hours a week. The location of this role is National where we offer hybrid working, you will be based in one of our following offices and from home - Newcastle, York, Manchester, Birmingham, Swindon, Bristol, London, Portsmouth (Fort Cumberland) and Cambridge. Salary £41,761 - £48,200 pro-rata National - £41,761 - £46,244 pro-rata GL+£44,961 - £47,900 pro-rata Inner London £46,487 - £48,200 pro-rata We offer a wide benefits package including a competitive defined benefit pension scheme to which we make 28.97% employer contributions, a generous 28 days holiday, corporate discounts, free entry into English Heritage sites across the country and development opportunities to ensure you achieve your goals. To view our full range of benefits please follow the link here . What you will be doing As a member of the Building Conservation & Designed Landscape Team in Technical Conservation, you will provide specialist technical advice on conserving, repairing, maintaining and adapting a vast range of heritage assets, from the humblest vernacular structures to some of the most significant historic buildings and sites in the country, including those managed by English Heritage. You will also help to develop guidance on appropriate methods of conserving the historic built environment by commissioning and managing applied research projects, carrying out and organising specialist training and producing and disseminating technical advice and guidance for a range of audiences, including conservation professionals and non-professionals. You will provide expert input to our technical advice, guidance development and research on mortars, plasters, renders and earthen materials. The work is highly varied, and no two days are the same; one day, you might be on site, to advise on mortars for conservation of a ruined site, and the next day you might be in a meeting with scientists, helping to design a research methodology for evaluating traditional solutions to driving rain penetration, or be attending a conference to present our research or guidance. Please note The role will involve travel to local offices and locations throughout England, often to sites that are inaccessible by public transport, so it is essential that you have a current driving licence that is valid in the UK. Due to the national remit of the role, attendance at meetings and site visits will often involve overnight stays, sometimes of more than one consecutive night. The role will also involve visiting sites in exposed locations and where climbing scaffolding and negotiating uneven terrain and confined spaces (such as attics) will be essential. Who we are looking for Degree or equivalent qualification in a relevant subject or equivalent work experience. Extensive, appropriate & wide-ranging post-qualification experience in the conservation of historic buildings and structures, including diagnosing defects and implementing appropriate interventions. Experience of writing reports, guidance and articles and editing the work of others Practical experience of a range of historic building repair methods Detailed knowledge of traditional building materials and systems (particularly mortars, plasters, renders and earthen materials) and a thorough understanding of the mechanisms of deterioration, options for remedial work, and the implications of intervention Strong written and oral communication skills Team player with proven ability to collaborate with wide range of internal & external partners Please make clear reference to the person specification in the job description when you are completing your application and highlight examples of any related knowledge, skills and experienced based on these. Please note your application will be scored and assessed against the above criteria. We are an equal opportunity employer which values diversity and inclusion. If you have a disability or neurodiversity, we would be happy to discuss reasonable adjustments to the job with you. Having won the Gold Award from MIND for workplace wellbeing in seven consecutive years, we also recognise the importance of a healthy work-life balance. We are an inclusive employer and believe that flexible working options are for everyone. We want to make sure our working arrangements don't prevent anyone from joining us because of their personal circumstances. We also want to provide you with the best balance in your home and work life that we can. We are open to considering options including compressed hours working and different working locations, including hybrid working. Please visit our jobs pages or contact us to find out more. Why work for Historic England We are committed to promoting equality of opportunity for everyone. Diversity helps us to perform better and attract more people to support our work. We welcome and encourage job applications from people of all backgrounds. We particularly encourage applications from Black, Asian and Minority Ethnic candidates and candidates with disabilities as they are underrepresented within Historic England at this level. Historic England want all of our candidates to shine in the recruitment process. Please tell us what we can do to make sure you can show us your very best self. You can contact us by email at if you have any recruitment queries. At Historic England we use a hiring system called Applied. Applied is a behavioural science-backed recruitment platform that reduces bias, improves quality of hire and increases diversity. You will answer a few questions that allow our hiring teams to test your skills and suitability for the role, and will be requested to upload a cover letter and your CV, max 6 sides of A4, which must include: your degree (or equivalent qualification or equivalent work experience) in a relevant subject, and any other relevant qualifications that you hold, citing where you studied or gained this experience, and the grades you achieved. details of your employment, in reverse order, starting with your most recent. Your reasons for leaving must be clearly indicated and reasons for any gaps in your employment must also be given. For each employment include name of employer, address, position held, main duties/responsibilities and key achievements. a list of your professional and other qualifications. At Historic England, we value the expertise and individuality each candidate brings and want to hear about this in your own words. If you require the use or AI tools or other resources to support your application, we ask that all information is factually accurate, original, and reflects your own experience. To best represent yourself, we encourage you to write in your own words and use AI-generated content only as inspiration-not as direct input. For further information or to request an informal discussion please contact Alison Henry () or Domenico D'Alessandro (). Provisional interview dates: 18th March 2026 in person in London Please follow the link for a full copy of the Job Description -
Mar 03, 2026
Full time
Summary We are the public body that looks after England's historic environment. We champion historic places, helping people understand, value and care for them. Historic England have a fantastic opportunity for you to join us as a Senior Building Conservation Advisor as part of our Technical Conservation Team to support the team's role as a centre of specialist knowledge and research in the conservation of historic buildings. We are looking for a good team player with wide experience in applied building conservation, combined with intellectual curiosity and a creative approach to problem solving, to help deliver our evidence-based advice and guidance on caring for the built heritage. Within the team's wider role, we are seeking a candidate specialising in mortars, plasters and renders in conservation, and conservation of earthen materials. This is a unique opportunity to join a small, highly motivated and high-achieving team working alongside colleagues and industry experts with a wealth of knowledge at their fingertips. This is a Part Time, Permanent position working 21.6 hours a week. The location of this role is National where we offer hybrid working, you will be based in one of our following offices and from home - Newcastle, York, Manchester, Birmingham, Swindon, Bristol, London, Portsmouth (Fort Cumberland) and Cambridge. Salary £41,761 - £48,200 pro-rata National - £41,761 - £46,244 pro-rata GL+£44,961 - £47,900 pro-rata Inner London £46,487 - £48,200 pro-rata We offer a wide benefits package including a competitive defined benefit pension scheme to which we make 28.97% employer contributions, a generous 28 days holiday, corporate discounts, free entry into English Heritage sites across the country and development opportunities to ensure you achieve your goals. To view our full range of benefits please follow the link here . What you will be doing As a member of the Building Conservation & Designed Landscape Team in Technical Conservation, you will provide specialist technical advice on conserving, repairing, maintaining and adapting a vast range of heritage assets, from the humblest vernacular structures to some of the most significant historic buildings and sites in the country, including those managed by English Heritage. You will also help to develop guidance on appropriate methods of conserving the historic built environment by commissioning and managing applied research projects, carrying out and organising specialist training and producing and disseminating technical advice and guidance for a range of audiences, including conservation professionals and non-professionals. You will provide expert input to our technical advice, guidance development and research on mortars, plasters, renders and earthen materials. The work is highly varied, and no two days are the same; one day, you might be on site, to advise on mortars for conservation of a ruined site, and the next day you might be in a meeting with scientists, helping to design a research methodology for evaluating traditional solutions to driving rain penetration, or be attending a conference to present our research or guidance. Please note The role will involve travel to local offices and locations throughout England, often to sites that are inaccessible by public transport, so it is essential that you have a current driving licence that is valid in the UK. Due to the national remit of the role, attendance at meetings and site visits will often involve overnight stays, sometimes of more than one consecutive night. The role will also involve visiting sites in exposed locations and where climbing scaffolding and negotiating uneven terrain and confined spaces (such as attics) will be essential. Who we are looking for Degree or equivalent qualification in a relevant subject or equivalent work experience. Extensive, appropriate & wide-ranging post-qualification experience in the conservation of historic buildings and structures, including diagnosing defects and implementing appropriate interventions. Experience of writing reports, guidance and articles and editing the work of others Practical experience of a range of historic building repair methods Detailed knowledge of traditional building materials and systems (particularly mortars, plasters, renders and earthen materials) and a thorough understanding of the mechanisms of deterioration, options for remedial work, and the implications of intervention Strong written and oral communication skills Team player with proven ability to collaborate with wide range of internal & external partners Please make clear reference to the person specification in the job description when you are completing your application and highlight examples of any related knowledge, skills and experienced based on these. Please note your application will be scored and assessed against the above criteria. We are an equal opportunity employer which values diversity and inclusion. If you have a disability or neurodiversity, we would be happy to discuss reasonable adjustments to the job with you. Having won the Gold Award from MIND for workplace wellbeing in seven consecutive years, we also recognise the importance of a healthy work-life balance. We are an inclusive employer and believe that flexible working options are for everyone. We want to make sure our working arrangements don't prevent anyone from joining us because of their personal circumstances. We also want to provide you with the best balance in your home and work life that we can. We are open to considering options including compressed hours working and different working locations, including hybrid working. Please visit our jobs pages or contact us to find out more. Why work for Historic England We are committed to promoting equality of opportunity for everyone. Diversity helps us to perform better and attract more people to support our work. We welcome and encourage job applications from people of all backgrounds. We particularly encourage applications from Black, Asian and Minority Ethnic candidates and candidates with disabilities as they are underrepresented within Historic England at this level. Historic England want all of our candidates to shine in the recruitment process. Please tell us what we can do to make sure you can show us your very best self. You can contact us by email at if you have any recruitment queries. At Historic England we use a hiring system called Applied. Applied is a behavioural science-backed recruitment platform that reduces bias, improves quality of hire and increases diversity. You will answer a few questions that allow our hiring teams to test your skills and suitability for the role, and will be requested to upload a cover letter and your CV, max 6 sides of A4, which must include: your degree (or equivalent qualification or equivalent work experience) in a relevant subject, and any other relevant qualifications that you hold, citing where you studied or gained this experience, and the grades you achieved. details of your employment, in reverse order, starting with your most recent. Your reasons for leaving must be clearly indicated and reasons for any gaps in your employment must also be given. For each employment include name of employer, address, position held, main duties/responsibilities and key achievements. a list of your professional and other qualifications. At Historic England, we value the expertise and individuality each candidate brings and want to hear about this in your own words. If you require the use or AI tools or other resources to support your application, we ask that all information is factually accurate, original, and reflects your own experience. To best represent yourself, we encourage you to write in your own words and use AI-generated content only as inspiration-not as direct input. For further information or to request an informal discussion please contact Alison Henry () or Domenico D'Alessandro (). Provisional interview dates: 18th March 2026 in person in London Please follow the link for a full copy of the Job Description -
We are recruiting for a Group Media Manager Summary This role has a crucial part to play in Nesta's success, using the media as a key channel in building Nesta's influence, profile and impact. Working as part of an expert communications team, you will plan and deliver media activity targeting policymakers and the wider policy and government communities, as well as specific practitioner groups or segments of the public. Your focus will be largely but not exclusively on our three missions; health, decarbonising heat, and early years. You will also work widely and flexibly on a range of broader topics, collaborating with experts across all of Nesta, as well as working with researchers and behavioural scientists at BIT. You will take a flexible approach to media audiences, focusing on traditional and legacy media as key sources of influence but also leaning heavily into 'newer' outlets and platforms, ranging from policy podcasts to media startups and key Substack influencers, as essential routes to the audiences we need to reach and engage. This is a hands-on role that combines the tactical delivery of media activity with the strategic planning that is required to build Nesta's media profile, protect our reputation and position us as an organisation that is a world leader in driving innovation for social good. What you'll be doing: Lead on the development and delivery of UK media plans that support the strategic objectives of Nesta and BIT Work collaboratively to shape stories that involve a cross-functional range of colleagues from disciplines including data science, design, behaviour science and policy and research Actively seek out proactive opportunities to build our profile among journalists in our three mission areas (health, decarbonising homes, early years), as well as more generally Work with colleagues at BIT to grow and build the reputation of the organisation as a world-class research and innovation consultancy that uses a deep understanding of human behaviour to improve people's lives. Accelerate our journey from a primarily legacy media-focused media team to a hybrid model where 'newer media' is just as important, building relationships with these outlets, writers and broadcasters and securing high-impact coverage Monitor relevant breaking news stories and political and policy developments, identifying and quickly capitalising on relevant opportunities for Nesta's missions and brand Protect Nesta's reputation, develop and implement crisis management media strategies and rebuttal as required Identify, develop and maintain relationships with key media and internal and external stakeholders, including taking the lead on managing and coordinating internal and external relationships to progress media stories, statements and positions, with often competing priorities and time pressure Develop and maintain Nesta's cohort of case studies across its consumer-facing projects and services, building relationships with these contacts as advocates of Nesta's mission goals Ensure the smooth day-to-day running of the Nesta press office through developing shared resources and reporting key success metrics Support colleagues in the Nesta communications team by guiding and supporting their media outreach, and by acting as a source of expert advice on media for the rest of the organisation Covering media enquiries out of hours as and when required Deputising for the senior media manager as and when required What we're looking for: Professional media relations experience (essential): You will have proven experience of working in a busy press office (ideally a policy-focused media team), with at least 80% of your time spent on media. A creative thinker and experienced writer and editor, you will have experience working on a variety of stories and you think cross-channel. You have a solid understanding of how the media environment works, how it's changing and what that demands from organisations like Nesta and BIT. Knowledge and understanding of the UK policy context (essential): You will have worked at the interface of communications and policy, possibly in government, a thinktank, NGO or in the private sector. You will appreciate the pace, nuance and strategic thinking required to operate in a media team that is deeply connected across government, industry and practitioner groups Excellent writing skills (essential): You will be a superb writer, capable of adapting your style across different channels to reach audiences in the most effective way. The ability to work quickly and flexibly in the role is important. You will be as comfortable advising on a longer-term strategic project as you will be turning around flawless copy on a breaking news story. Project delivery skills (essential): You will have proven experience in delivering high-impact communications campaigns from conception to delivery and evaluation. You can proactively plan and deliver work, identify and act on risks and find solutions. Strong interpersonal and networking skills (essential): You will have experience in applying these effectively to collaborate well with colleagues, build stakeholder relationships and develop partnerships. You bring with you a bank of trusted contacts and you are always looking to expand your range of trusted contacts across media. As with all members of Nesta Group's communications team, the post holder will be at their best working in a collaborative, fast-paced environment with multiple projects and priorities. They will have a positive, can-do attitude and a flexible approach, able to adapt to changing circumstances with good humour and an appetite for taking on new tasks and challenges. They will also have strong communication skills, the ability to write and edit content for different audiences and a proven ability in (or enthusiasm to learn) web publishing and the creation of simple communications products like social cards or videos. What we offer Salary: £49,200 - £65,800 plus an array of benefits including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more. Offers are usually made at the bottom of the band. Location: Hybrid, with two days per week in the London office. We ask that our team attend the office on Tuesday and one other day of their choice. Term: Full-time, permanent Hours: 37.5 hours per week. Occasional out-of-hours work (evenings, weekends, and public holidays) will be required to fulfil the role. Flexibility: This is a full-time role, but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Media Manager Making an application To apply for this role, please submit your CV and cover letter before 8:00am on the 9th of March 2026. Interviews will take place w/c 23rd of March 2026. About Nesta We are Nesta, a research and innovation foundation, using a powerhouse of applied methods to design, test and scale solutions for the biggest challenges of our time. Driven by a vision to improve the lives of millions of people, our focus up to 2030 is on three missions: breaking the link between family background and life chances, halving obesity and cutting household carbon emissions. We work with partners across the public, private and third sectors to develop high-potential solutions and test them as they evolve, drawing on deep expertise in qualitative and quantitative research, data science, behavioural science and design. Once confident in the effectiveness of a solution, we are relentless in the pursuit of scale. We create and make the case for ambitious national policy proposals, develop consumer-facing products and services, spin out and support commercial ventures and harness the power of the arts to shape national narratives. We extend our impact through two specialised units that help others to solve complex problems and achieve their missions. BIT applies a deep understanding of human behaviour to help clients achieve their goals. Challenge Works designs and runs challenge prizes to spark innovation in science, technology and society. Together, we are building a powerful ecosystem for innovation that delivers proven solutions to create lasting, positive change. Find out more at nesta.org.uk . At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.
Mar 03, 2026
Full time
We are recruiting for a Group Media Manager Summary This role has a crucial part to play in Nesta's success, using the media as a key channel in building Nesta's influence, profile and impact. Working as part of an expert communications team, you will plan and deliver media activity targeting policymakers and the wider policy and government communities, as well as specific practitioner groups or segments of the public. Your focus will be largely but not exclusively on our three missions; health, decarbonising heat, and early years. You will also work widely and flexibly on a range of broader topics, collaborating with experts across all of Nesta, as well as working with researchers and behavioural scientists at BIT. You will take a flexible approach to media audiences, focusing on traditional and legacy media as key sources of influence but also leaning heavily into 'newer' outlets and platforms, ranging from policy podcasts to media startups and key Substack influencers, as essential routes to the audiences we need to reach and engage. This is a hands-on role that combines the tactical delivery of media activity with the strategic planning that is required to build Nesta's media profile, protect our reputation and position us as an organisation that is a world leader in driving innovation for social good. What you'll be doing: Lead on the development and delivery of UK media plans that support the strategic objectives of Nesta and BIT Work collaboratively to shape stories that involve a cross-functional range of colleagues from disciplines including data science, design, behaviour science and policy and research Actively seek out proactive opportunities to build our profile among journalists in our three mission areas (health, decarbonising homes, early years), as well as more generally Work with colleagues at BIT to grow and build the reputation of the organisation as a world-class research and innovation consultancy that uses a deep understanding of human behaviour to improve people's lives. Accelerate our journey from a primarily legacy media-focused media team to a hybrid model where 'newer media' is just as important, building relationships with these outlets, writers and broadcasters and securing high-impact coverage Monitor relevant breaking news stories and political and policy developments, identifying and quickly capitalising on relevant opportunities for Nesta's missions and brand Protect Nesta's reputation, develop and implement crisis management media strategies and rebuttal as required Identify, develop and maintain relationships with key media and internal and external stakeholders, including taking the lead on managing and coordinating internal and external relationships to progress media stories, statements and positions, with often competing priorities and time pressure Develop and maintain Nesta's cohort of case studies across its consumer-facing projects and services, building relationships with these contacts as advocates of Nesta's mission goals Ensure the smooth day-to-day running of the Nesta press office through developing shared resources and reporting key success metrics Support colleagues in the Nesta communications team by guiding and supporting their media outreach, and by acting as a source of expert advice on media for the rest of the organisation Covering media enquiries out of hours as and when required Deputising for the senior media manager as and when required What we're looking for: Professional media relations experience (essential): You will have proven experience of working in a busy press office (ideally a policy-focused media team), with at least 80% of your time spent on media. A creative thinker and experienced writer and editor, you will have experience working on a variety of stories and you think cross-channel. You have a solid understanding of how the media environment works, how it's changing and what that demands from organisations like Nesta and BIT. Knowledge and understanding of the UK policy context (essential): You will have worked at the interface of communications and policy, possibly in government, a thinktank, NGO or in the private sector. You will appreciate the pace, nuance and strategic thinking required to operate in a media team that is deeply connected across government, industry and practitioner groups Excellent writing skills (essential): You will be a superb writer, capable of adapting your style across different channels to reach audiences in the most effective way. The ability to work quickly and flexibly in the role is important. You will be as comfortable advising on a longer-term strategic project as you will be turning around flawless copy on a breaking news story. Project delivery skills (essential): You will have proven experience in delivering high-impact communications campaigns from conception to delivery and evaluation. You can proactively plan and deliver work, identify and act on risks and find solutions. Strong interpersonal and networking skills (essential): You will have experience in applying these effectively to collaborate well with colleagues, build stakeholder relationships and develop partnerships. You bring with you a bank of trusted contacts and you are always looking to expand your range of trusted contacts across media. As with all members of Nesta Group's communications team, the post holder will be at their best working in a collaborative, fast-paced environment with multiple projects and priorities. They will have a positive, can-do attitude and a flexible approach, able to adapt to changing circumstances with good humour and an appetite for taking on new tasks and challenges. They will also have strong communication skills, the ability to write and edit content for different audiences and a proven ability in (or enthusiasm to learn) web publishing and the creation of simple communications products like social cards or videos. What we offer Salary: £49,200 - £65,800 plus an array of benefits including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more. Offers are usually made at the bottom of the band. Location: Hybrid, with two days per week in the London office. We ask that our team attend the office on Tuesday and one other day of their choice. Term: Full-time, permanent Hours: 37.5 hours per week. Occasional out-of-hours work (evenings, weekends, and public holidays) will be required to fulfil the role. Flexibility: This is a full-time role, but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Reports to: Senior Media Manager Making an application To apply for this role, please submit your CV and cover letter before 8:00am on the 9th of March 2026. Interviews will take place w/c 23rd of March 2026. About Nesta We are Nesta, a research and innovation foundation, using a powerhouse of applied methods to design, test and scale solutions for the biggest challenges of our time. Driven by a vision to improve the lives of millions of people, our focus up to 2030 is on three missions: breaking the link between family background and life chances, halving obesity and cutting household carbon emissions. We work with partners across the public, private and third sectors to develop high-potential solutions and test them as they evolve, drawing on deep expertise in qualitative and quantitative research, data science, behavioural science and design. Once confident in the effectiveness of a solution, we are relentless in the pursuit of scale. We create and make the case for ambitious national policy proposals, develop consumer-facing products and services, spin out and support commercial ventures and harness the power of the arts to shape national narratives. We extend our impact through two specialised units that help others to solve complex problems and achieve their missions. BIT applies a deep understanding of human behaviour to help clients achieve their goals. Challenge Works designs and runs challenge prizes to spark innovation in science, technology and society. Together, we are building a powerful ecosystem for innovation that delivers proven solutions to create lasting, positive change. Find out more at nesta.org.uk . At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.
Cambridge University Press & Assessment
Cambridge, Cambridgeshire
Job Title:Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. You will: Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities include: Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You To be successful in this role, you will bring: Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self-service analytics Proven ability to translate business or research questions into data-driven insights Experience communicating complex technical concepts to non-technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13 th March We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. As part of the application process, you can expect: At application stage: four technical questions to answer when submitting your CV. Stage 1: 30-minute screening call with the hiring manager. Stage 2: 60-minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed. Stage 4: Leadership and cultural 45-minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. Documents Principal Data Scientist.pdf (400.92 KB)
Mar 03, 2026
Full time
Job Title:Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. You will: Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities include: Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You To be successful in this role, you will bring: Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self-service analytics Proven ability to translate business or research questions into data-driven insights Experience communicating complex technical concepts to non-technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13 th March We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. As part of the application process, you can expect: At application stage: four technical questions to answer when submitting your CV. Stage 1: 30-minute screening call with the hiring manager. Stage 2: 60-minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed. Stage 4: Leadership and cultural 45-minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. Documents Principal Data Scientist.pdf (400.92 KB)
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Mar 03, 2026
Full time
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Principal MSAT Scientist Location: Edinburgh BioQuarter Who are we? We are RoslinCT, a world leading Cell and Gene Therapy Contract Development and Manufacturing Organisation creating cutting edge therapies that change people's lives. Collaborative, dedicated and talented people are the backbone of our culture, working both autonomously and in driven teams to make life changing products utilising ground breaking science. Find out more about what we do here! Why join us? The opportunity to join a rapidly expanding company which is changing lives, giving you the skills and experience to develop your career. A generous salary package - we reward our people at the level they deserve. Private healthcare and access to mental health/wellbeing support as your health and wellbeing means a lot to us. 31 days of annual leave, plus 4 public holidays which increases with tenure. A competitive company pension scheme to help you save for the future. Group Life Cover - you are automatically covered for three times your basic salary to give you and your family peace of mind. Flexible benefits such as retail discounts and access to the Cycle2Work scheme. Your new role The Principal Manufacturing Science and Technology (MSAT) Scientist will be responsible for providing in depth technical leadership and guidance on the commercial manufacturing of CASGEVY by managing complex changes associated with scale out, life cycle management, right first time and efficient operations with directly reporting to MSAT Manager. You will have direct contact with RoslinCT's client, supporting with long term process improvements and quality investigations. Create realistic, innovative solutions to complex technical and operational challenges, analysing data and presenting recommendations to both senior and executive management. Continuously drive process improvements to embed a right first time culture, ensuring best practices, efficient methodologies, and consistent quality standards are maintained. Support the resource allocation and timeline planning of new projects or demand. Lead, manage, and develop a team of MSAT Scientists and Associate MSAT Scientists, providing mentorship, technical guidance, and performance feedback to build capability and expertise within the team. Work closely with, and facilitate technical support, to wider departments within the business. Collaborate with the Business Development team on client engagement and development of new sales proposals. Ensure that all technical transfer activities are conducted in compliance with GMP, health and safety, and other relevant regulatory standard. About you Prior team leadership experience in a GMP manufacturing environment, preferably within Commercial sterile manufacturing. Working knowledge of cGMP systems and FDA/EU regulations within cell and gene therapy manufacturing. Experience working with stem cells, cellular therapies or cell banking. Exceptional communication skills - working closely with individuals at all levels including RoslinCT employees, stakeholders and suppliers. A desire to support continuous improvement, with a right first time approach. Ability to work under pressure to meet client demands and deadlines. Due to business critical needs, this role will require flexibility on working hours when required. Qualifications A Degree in Life Sciences, or related subject. Next Steps If this sounds like you, then please hit 'Apply' now. We will ask you to upload your CV and complete a short application form detailing why you are interested and why we should hire you. E EO & Accessibility At RoslinCT, we're all about inclusivity and creating a fair, welcoming workplace. Our goal is to make sure everyone knows they're valued and encouraged to be themselves, whether they're our employees, customers, or partners. We take pride in being an equal opportunity employer. We treat all applicants fairly and don't discriminate based on any protected characteristics. So, no matter who you are, we welcome your application with open arms. If you've got any specific needs or concerns regarding accessibility during the recruitment process, don't hesitate to reach out to us at . We're here to assist and make things as smooth as possible for you.
Mar 03, 2026
Full time
Principal MSAT Scientist Location: Edinburgh BioQuarter Who are we? We are RoslinCT, a world leading Cell and Gene Therapy Contract Development and Manufacturing Organisation creating cutting edge therapies that change people's lives. Collaborative, dedicated and talented people are the backbone of our culture, working both autonomously and in driven teams to make life changing products utilising ground breaking science. Find out more about what we do here! Why join us? The opportunity to join a rapidly expanding company which is changing lives, giving you the skills and experience to develop your career. A generous salary package - we reward our people at the level they deserve. Private healthcare and access to mental health/wellbeing support as your health and wellbeing means a lot to us. 31 days of annual leave, plus 4 public holidays which increases with tenure. A competitive company pension scheme to help you save for the future. Group Life Cover - you are automatically covered for three times your basic salary to give you and your family peace of mind. Flexible benefits such as retail discounts and access to the Cycle2Work scheme. Your new role The Principal Manufacturing Science and Technology (MSAT) Scientist will be responsible for providing in depth technical leadership and guidance on the commercial manufacturing of CASGEVY by managing complex changes associated with scale out, life cycle management, right first time and efficient operations with directly reporting to MSAT Manager. You will have direct contact with RoslinCT's client, supporting with long term process improvements and quality investigations. Create realistic, innovative solutions to complex technical and operational challenges, analysing data and presenting recommendations to both senior and executive management. Continuously drive process improvements to embed a right first time culture, ensuring best practices, efficient methodologies, and consistent quality standards are maintained. Support the resource allocation and timeline planning of new projects or demand. Lead, manage, and develop a team of MSAT Scientists and Associate MSAT Scientists, providing mentorship, technical guidance, and performance feedback to build capability and expertise within the team. Work closely with, and facilitate technical support, to wider departments within the business. Collaborate with the Business Development team on client engagement and development of new sales proposals. Ensure that all technical transfer activities are conducted in compliance with GMP, health and safety, and other relevant regulatory standard. About you Prior team leadership experience in a GMP manufacturing environment, preferably within Commercial sterile manufacturing. Working knowledge of cGMP systems and FDA/EU regulations within cell and gene therapy manufacturing. Experience working with stem cells, cellular therapies or cell banking. Exceptional communication skills - working closely with individuals at all levels including RoslinCT employees, stakeholders and suppliers. A desire to support continuous improvement, with a right first time approach. Ability to work under pressure to meet client demands and deadlines. Due to business critical needs, this role will require flexibility on working hours when required. Qualifications A Degree in Life Sciences, or related subject. Next Steps If this sounds like you, then please hit 'Apply' now. We will ask you to upload your CV and complete a short application form detailing why you are interested and why we should hire you. E EO & Accessibility At RoslinCT, we're all about inclusivity and creating a fair, welcoming workplace. Our goal is to make sure everyone knows they're valued and encouraged to be themselves, whether they're our employees, customers, or partners. We take pride in being an equal opportunity employer. We treat all applicants fairly and don't discriminate based on any protected characteristics. So, no matter who you are, we welcome your application with open arms. If you've got any specific needs or concerns regarding accessibility during the recruitment process, don't hesitate to reach out to us at . We're here to assist and make things as smooth as possible for you.
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Mar 02, 2026
Full time
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Fractile's mission is to enable a new chapter in the AI revolution. We're pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world's largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you! We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power efficient systems RTL Development and Implementation Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy. Implement complex design modules with a focus on performance, power, and area efficiency. Take ownership of design tasks, including planning, execution, and delivery of work packages. Define design tasks for the project, including partitioning, interface specifications, and module definitions. Collaborate with verification engineers to ensure functional correctness through simulation and formal verification. Cross Functional Collaboration Work closely with physical design engineers, and verification teams to ensure seamless integration of the design. Documentation and Standards Compliance Document RTL design methodologies, module interfaces, and functional requirements. Ensure adherence to coding standards, best practices, and maintainability guidelines. Qualifications and Skills Education: Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. Experience 6+ years of experience in digital design, RTL development, or related roles. Familiarity with advanced digital design concepts, such as pipelining, clock domain crossing, and power gating. Experience with high speed or low power design methodologies. Soft Skills Strong analytical and problem solving skills. Effective communication and collaboration abilities in cross functional teams. A detail oriented approach with a focus on quality and efficiency.
Mar 02, 2026
Full time
Fractile's mission is to enable a new chapter in the AI revolution. We're pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world's largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you! We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power efficient systems RTL Development and Implementation Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy. Implement complex design modules with a focus on performance, power, and area efficiency. Take ownership of design tasks, including planning, execution, and delivery of work packages. Define design tasks for the project, including partitioning, interface specifications, and module definitions. Collaborate with verification engineers to ensure functional correctness through simulation and formal verification. Cross Functional Collaboration Work closely with physical design engineers, and verification teams to ensure seamless integration of the design. Documentation and Standards Compliance Document RTL design methodologies, module interfaces, and functional requirements. Ensure adherence to coding standards, best practices, and maintainability guidelines. Qualifications and Skills Education: Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. Experience 6+ years of experience in digital design, RTL development, or related roles. Familiarity with advanced digital design concepts, such as pipelining, clock domain crossing, and power gating. Experience with high speed or low power design methodologies. Soft Skills Strong analytical and problem solving skills. Effective communication and collaboration abilities in cross functional teams. A detail oriented approach with a focus on quality and efficiency.
Cambridge University Press
Cambridge, Cambridgeshire
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Mar 02, 2026
Full time
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.
Mar 01, 2026
Full time
A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Become part of our People and Change Team We create purposeful,innovativeand sustainable organisations that people want to be a part of. We do this by harnessing the power of people, data and technology to design, deliver and embed lasting change. Our work enables organisations and their people to perform at their highest potential in an increasingly digital, data,andAI enabledworld. Ourdiverse teamadviseclients on strategic workforce and organisational challenges, combining deep changeexpertisewith digital, data and AI-driven transformation. We work collaboratively across disciplines to design solutions that are practical,human-centredandoutcomes focused. We collaborate with cross-functional teams to create solutions tailored to client needs underpinned by our insights into emerging trends including AI, HRtechnologiesand workforce analytics. TheRole We arecurrentlyrecruitingChange Management Consultants(ConsultantAnalyst,Consultant, SeniorConsultantgrades)with proven experience in digital change experienceattainedwithin industry or a consulting role to join our People and Change Capability. You will help clients design and deliver digital change and transformation programmes, integrating technology adoption withbehaviour change,organisational change, workforce transformation, and new ways of working. You will typically work on complex transformation programmes where success depends on both technology and people adoption. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Qualifications This role is ideal for hybrid profiles who combine strengths in change management with digital, data, agile or product-led delivery. We are looking for experiencein one or more of the following: Designing and deliveringdigital and datatransformationprogrammesthat balancetechnology implementationwith behavioural and cultural change. Practical experience applying change management fundamentals and methodologies (impact assessment, engagement, communications, adoption measurement) in fastmoving digital environments. Embeddingdigital-first ways of working to drive enablement and adoption, includingend-useradoption, mindset shift, capability building and coaching for leaders and teams. Understanding and application ofdigital toolsand techniques, such asmachinelearning, automation,andpredictive analytics,todevelop insights,inform decision-making,and enhance collaboration. Assessing the impact of large-scale digital transformations andunderstanding ofbehaviourchange topreparingbehaviouralinterventions that embed new ways of workingacrossall levels of an organisationto embracenew technologyand adapt ways of working to achieveorganisationalbenefits. Integrating dataanalytics, interpretationand insights into changemanagement,workforce planning, and decision-making processes. Understanding how digital platforms(e. g. ERP)impact workforce planning, culture, and decision-making. Leveraging data to measure change readiness, effectiveness,and enable informed decision making. Advising on skills implications of digital and AI adoption, including reskilling, capabilityupliftand workforce transition. Conducting user research and engagement activities (interviews, workshops, usability testing) to informdigitalchange strategies. You will bring many of the following attributes: Highlevelsofemotional intelligenceand experience working with a range of stakeholders so that youcan adaptyour approach to different client and organisational contexts. A collaborative and enthusiastic style,with flexibility to work on diverse challenges in small,cross functional, or largeteams. Strong analyticalthinkingandproblem-solvingskillswithan ability to deliverypracticalresults. Excellent written andoralcommunication skillswhich enableyouto translate complex digital concepts into clear,human-centredmessages. The ability to build trusted relationships quickly withcolleagues,clientsand senior stakeholders. Aforward-thinkingmindset with a strong interest in future of work, AI, digital transformation, workforcestrategyand people analytics. Professional accreditation or formal training (e.g. change management, agile, product, data or digital) is helpful but not essential. We place strong emphasis on learning and development. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Feb 28, 2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Become part of our People and Change Team We create purposeful,innovativeand sustainable organisations that people want to be a part of. We do this by harnessing the power of people, data and technology to design, deliver and embed lasting change. Our work enables organisations and their people to perform at their highest potential in an increasingly digital, data,andAI enabledworld. Ourdiverse teamadviseclients on strategic workforce and organisational challenges, combining deep changeexpertisewith digital, data and AI-driven transformation. We work collaboratively across disciplines to design solutions that are practical,human-centredandoutcomes focused. We collaborate with cross-functional teams to create solutions tailored to client needs underpinned by our insights into emerging trends including AI, HRtechnologiesand workforce analytics. TheRole We arecurrentlyrecruitingChange Management Consultants(ConsultantAnalyst,Consultant, SeniorConsultantgrades)with proven experience in digital change experienceattainedwithin industry or a consulting role to join our People and Change Capability. You will help clients design and deliver digital change and transformation programmes, integrating technology adoption withbehaviour change,organisational change, workforce transformation, and new ways of working. You will typically work on complex transformation programmes where success depends on both technology and people adoption. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Qualifications This role is ideal for hybrid profiles who combine strengths in change management with digital, data, agile or product-led delivery. We are looking for experiencein one or more of the following: Designing and deliveringdigital and datatransformationprogrammesthat balancetechnology implementationwith behavioural and cultural change. Practical experience applying change management fundamentals and methodologies (impact assessment, engagement, communications, adoption measurement) in fastmoving digital environments. Embeddingdigital-first ways of working to drive enablement and adoption, includingend-useradoption, mindset shift, capability building and coaching for leaders and teams. Understanding and application ofdigital toolsand techniques, such asmachinelearning, automation,andpredictive analytics,todevelop insights,inform decision-making,and enhance collaboration. Assessing the impact of large-scale digital transformations andunderstanding ofbehaviourchange topreparingbehaviouralinterventions that embed new ways of workingacrossall levels of an organisationto embracenew technologyand adapt ways of working to achieveorganisationalbenefits. Integrating dataanalytics, interpretationand insights into changemanagement,workforce planning, and decision-making processes. Understanding how digital platforms(e. g. ERP)impact workforce planning, culture, and decision-making. Leveraging data to measure change readiness, effectiveness,and enable informed decision making. Advising on skills implications of digital and AI adoption, including reskilling, capabilityupliftand workforce transition. Conducting user research and engagement activities (interviews, workshops, usability testing) to informdigitalchange strategies. You will bring many of the following attributes: Highlevelsofemotional intelligenceand experience working with a range of stakeholders so that youcan adaptyour approach to different client and organisational contexts. A collaborative and enthusiastic style,with flexibility to work on diverse challenges in small,cross functional, or largeteams. Strong analyticalthinkingandproblem-solvingskillswithan ability to deliverypracticalresults. Excellent written andoralcommunication skillswhich enableyouto translate complex digital concepts into clear,human-centredmessages. The ability to build trusted relationships quickly withcolleagues,clientsand senior stakeholders. Aforward-thinkingmindset with a strong interest in future of work, AI, digital transformation, workforcestrategyand people analytics. Professional accreditation or formal training (e.g. change management, agile, product, data or digital) is helpful but not essential. We place strong emphasis on learning and development. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Our innovation strategy is simple - We want to solve the challenges we have today as well as find answers to some of our industry's bigger long-term challenges. Whether it's delivering water that is always good to drink, reducing waste in our processes with energy efficient technologies or improving visibility of the network, our150+ strong team of innovators are working day in day out to make it happen. If you want to do more because you care, we'd love to talk to you. There really is something for everyone here. With that in mind we're looking for a Data Science Manager within our Asset Intelligence & Innovation Team to help us as we do so, based at our Coventry office. Are you an experienced Data Scientist who is ready to take their career to the next level? Are you passionate about data, technology, people and how they can be used to deliver amazing outcomes? Are you someone who thrives in a fast-paced environment? And are you proficient in programming languages Python and SQL? If so, we want to talk to you! EVERYTHING YOU NEED TO KNOW As a successful candidate, you'll play the key role of leading a team of Data Scientists and Analytics professionals, and support in creating a high performing Data Science delivery team and support us on the transition towards MLOps. You must be a great influencer and have experience with a range of stakeholders as you will lead on the delivery of an optimised data science service to all key stakeholders across Severn Trent. Equally as important is you having excellent knowledge of standards, tools and techniques used within the profession as well as being familiar with data analytics and Agile methodologies/frameworks. This is due to you having a requirement to present analytics opportunities, progress and results to senior stakeholders. It's key that you have an ability to communicate technical concepts in a clear and compelling way at all levels of the organisation. So, if you are passionate about, and motivated to, deliver a world class customer experience send us your application today. WHAT YOU'LL BRING TO THE ROLE In this role we will look for you to have previous stakeholder management experience and excellent communication skills. You will also have experience using program analytics Python or similar and a good level of SQL skills and also Cloud computing. Experience using Power BI is ideal but not essential. We welcome people from all walks of life and celebrate individuality as we know diverse minds, experiences and backgrounds help us to learn and better serve our communities. We want people who show up and get involve. Those who are ready to be part of something bigger and who want to make a difference because they care. Is that you? WHAT'S IN IT FOR YOU Working here isn't just a job. You can build a career at Severn Trent. We'll reward you for it, too. We have a range of benefits that recognise great work, and award winning training to help you reach your potential. And we'll also help you play your part in looking after the environment and the communities where we live. With that in mind, here are just some of our favourite's perks that you'll get being part of the Seven Trent family: 28 days holiday + bank holidays (and the ability to buy/ sell up to 5 days per year) Annual bonus scheme (of up to £2,250 per annum based on company performance) Leading pension scheme - we will double your contribution (up to 15% when you contribute 7.5%) Sharesave - the chance to buy Severn Trent Plc shares at a discounted rate Dedicated training and development with our 'Academy' Electric vehicle scheme and retail offers Family friendly policies Two volunteering days per year WHAT'S NEXT We can't wait to hear from you. Before you apply, you'll need an updated copy of your CV and about five minutes to spare. If your curiosity has been piqued and you're wanting to find out even more, search social media. Ps. we'll always let you know the outcome of your application after the closing date - so keep an eye on your phone and emails!
Feb 28, 2026
Full time
Our innovation strategy is simple - We want to solve the challenges we have today as well as find answers to some of our industry's bigger long-term challenges. Whether it's delivering water that is always good to drink, reducing waste in our processes with energy efficient technologies or improving visibility of the network, our150+ strong team of innovators are working day in day out to make it happen. If you want to do more because you care, we'd love to talk to you. There really is something for everyone here. With that in mind we're looking for a Data Science Manager within our Asset Intelligence & Innovation Team to help us as we do so, based at our Coventry office. Are you an experienced Data Scientist who is ready to take their career to the next level? Are you passionate about data, technology, people and how they can be used to deliver amazing outcomes? Are you someone who thrives in a fast-paced environment? And are you proficient in programming languages Python and SQL? If so, we want to talk to you! EVERYTHING YOU NEED TO KNOW As a successful candidate, you'll play the key role of leading a team of Data Scientists and Analytics professionals, and support in creating a high performing Data Science delivery team and support us on the transition towards MLOps. You must be a great influencer and have experience with a range of stakeholders as you will lead on the delivery of an optimised data science service to all key stakeholders across Severn Trent. Equally as important is you having excellent knowledge of standards, tools and techniques used within the profession as well as being familiar with data analytics and Agile methodologies/frameworks. This is due to you having a requirement to present analytics opportunities, progress and results to senior stakeholders. It's key that you have an ability to communicate technical concepts in a clear and compelling way at all levels of the organisation. So, if you are passionate about, and motivated to, deliver a world class customer experience send us your application today. WHAT YOU'LL BRING TO THE ROLE In this role we will look for you to have previous stakeholder management experience and excellent communication skills. You will also have experience using program analytics Python or similar and a good level of SQL skills and also Cloud computing. Experience using Power BI is ideal but not essential. We welcome people from all walks of life and celebrate individuality as we know diverse minds, experiences and backgrounds help us to learn and better serve our communities. We want people who show up and get involve. Those who are ready to be part of something bigger and who want to make a difference because they care. Is that you? WHAT'S IN IT FOR YOU Working here isn't just a job. You can build a career at Severn Trent. We'll reward you for it, too. We have a range of benefits that recognise great work, and award winning training to help you reach your potential. And we'll also help you play your part in looking after the environment and the communities where we live. With that in mind, here are just some of our favourite's perks that you'll get being part of the Seven Trent family: 28 days holiday + bank holidays (and the ability to buy/ sell up to 5 days per year) Annual bonus scheme (of up to £2,250 per annum based on company performance) Leading pension scheme - we will double your contribution (up to 15% when you contribute 7.5%) Sharesave - the chance to buy Severn Trent Plc shares at a discounted rate Dedicated training and development with our 'Academy' Electric vehicle scheme and retail offers Family friendly policies Two volunteering days per year WHAT'S NEXT We can't wait to hear from you. Before you apply, you'll need an updated copy of your CV and about five minutes to spare. If your curiosity has been piqued and you're wanting to find out even more, search social media. Ps. we'll always let you know the outcome of your application after the closing date - so keep an eye on your phone and emails!
Senior/Staff Scientist - Full Stack Cheminformatics Developer The Role You will be joining an expanding team based in Glasgow. This position offers a unique opportunity to work in an interdisciplinary environment that integrates engineering, robotics, chemical synthesis, drug discovery, and advanced software development. As a Senior/Staff Cheminformatics Scientist you will play a pivotal role in building and deploying computational tools (algorithms, user interfaces, databases, and applications) that power Chemify's world-class integrated chemical platform. In this role, you will design, implement, and optimize cheminformatics algorithms to drive retrosynthetic route planning, reaction prediction, and chemical space exploration. Equally, you will contribute as a full stack developer, ensuring that these research innovations are transformed into robust, scalable software solutions for internal use and external deployment. Collaboration will be central to your success: you will work closely with cheminformatics, software engineering, process engineering, and synthetic chemistry teams to advance the development of the most automated, efficient, and versatile chemical manufacturing laboratory in the world. Key Responsibilities Design, develop, and maintain scalable full stack applications (frontend + backend) that integrate cheminformatics algorithms with Chemify's platform Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applications Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasting Translate cheminformatics research output into production-ready software tools, integrating with internal pipelines and laboratory automation platforms Implement and maintain robust data infrastructures, including relational and graph databases, to support cheminformatics applications Collaborate cross-functionally to align algorithm development, software engineering best practices, and experimental automation Present technical results, prototypes, and recommendations to leadership, customers, and interdisciplinary collaborators Contribute to the continuous improvement of Chemify's software engineering culture, tools, and workflows Requirements PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics, or equivalent professional experience 3+ years of professional experience in full stack software development (e.g., React, FastAPI, Django, Node.js, or similar frameworks) Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space exploration Demonstrated expertise with cheminformatics toolkits (e.g., RDKit) and chemical reaction encoding (e.g., SMARTS/SMIRKS) Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environments Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code review Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azure) Strong problem-solving skills, with the ability to translate research prototypes into reliable software solutions Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences Desired Skills & Attributes Proven track record in developing or deploying computational retrosynthesis tools Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (MongoDB) Familiarity with high-performance computing (HPC) environments and large-scale data pipelines Experience in deploying and scaling AI/ML-driven applications within production systems Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary teams Passion for working at the intersection of chemistry and computation, with eagerness to learn new scientific and engineering concepts Ability to thrive in a fast-paced, collaborative research environment Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Cheminformatics Job Title Senior/Staff Scientist - Full Stack Cheminformatics Developer
Feb 28, 2026
Full time
Senior/Staff Scientist - Full Stack Cheminformatics Developer The Role You will be joining an expanding team based in Glasgow. This position offers a unique opportunity to work in an interdisciplinary environment that integrates engineering, robotics, chemical synthesis, drug discovery, and advanced software development. As a Senior/Staff Cheminformatics Scientist you will play a pivotal role in building and deploying computational tools (algorithms, user interfaces, databases, and applications) that power Chemify's world-class integrated chemical platform. In this role, you will design, implement, and optimize cheminformatics algorithms to drive retrosynthetic route planning, reaction prediction, and chemical space exploration. Equally, you will contribute as a full stack developer, ensuring that these research innovations are transformed into robust, scalable software solutions for internal use and external deployment. Collaboration will be central to your success: you will work closely with cheminformatics, software engineering, process engineering, and synthetic chemistry teams to advance the development of the most automated, efficient, and versatile chemical manufacturing laboratory in the world. Key Responsibilities Design, develop, and maintain scalable full stack applications (frontend + backend) that integrate cheminformatics algorithms with Chemify's platform Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applications Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasting Translate cheminformatics research output into production-ready software tools, integrating with internal pipelines and laboratory automation platforms Implement and maintain robust data infrastructures, including relational and graph databases, to support cheminformatics applications Collaborate cross-functionally to align algorithm development, software engineering best practices, and experimental automation Present technical results, prototypes, and recommendations to leadership, customers, and interdisciplinary collaborators Contribute to the continuous improvement of Chemify's software engineering culture, tools, and workflows Requirements PhD in Computer Science, Cheminformatics, Data Science, Bioinformatics, or equivalent professional experience 3+ years of professional experience in full stack software development (e.g., React, FastAPI, Django, Node.js, or similar frameworks) Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space exploration Demonstrated expertise with cheminformatics toolkits (e.g., RDKit) and chemical reaction encoding (e.g., SMARTS/SMIRKS) Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environments Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code review Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azure) Strong problem-solving skills, with the ability to translate research prototypes into reliable software solutions Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences Desired Skills & Attributes Proven track record in developing or deploying computational retrosynthesis tools Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (MongoDB) Familiarity with high-performance computing (HPC) environments and large-scale data pipelines Experience in deploying and scaling AI/ML-driven applications within production systems Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary teams Passion for working at the intersection of chemistry and computation, with eagerness to learn new scientific and engineering concepts Ability to thrive in a fast-paced, collaborative research environment Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Cheminformatics Job Title Senior/Staff Scientist - Full Stack Cheminformatics Developer
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Feb 28, 2026
Full time
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Research Scientist, Open Source Technical Safeguards London, UK About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Societal Resilience Societal Resilience is a multidisciplinary team that studies how advanced AI models can impact people and society. We research the prevalence and severity of high impact societal risks caused by frontier AI deployment, and develop mitigations to address these risks. Core research topics include the use of AI for assisting with criminal activities, preventing critical overreliance on insufficiently robust systems, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium term risks. Why this team matters One emerging risk area we are concerned with is the use of open weight models to drive risks like child sexual abuse material (CSAM) and non consensual intimate imagery (NCII) generation. AISI has previously published research on methods for making open weight models more robust against malicious tampering. In this role, you'll join a strongly collaborative technical research team to help design and develop technical safeguards for open weight models that will reduce the risks of CSAM, NCII, and other risks. We do not expect this role to handle this kind of content directly. About the role This is a research scientist position focused on developing technical safeguards against tampering with open weight models. The role will focus on mitigating AI generated CSAM and NCII by targeting the real world supply chain driving harm: open weight models, adaptation artifacts (LoRAs, guides), and downstream distribution infrastructure (hosting platforms, app stores, operating systems). Our approach prioritises downstream mitigations and actors beyond frontier model developers. This role will build technical tools, protocols, and evidence that platforms and OS/app ecosystems can adopt. This work belongs inside UK government because effective mitigation requires cross agency coordination (Home Office, DSIT, Ofcom), engagement with regulated platforms under the Online Safety Act, and credible evidence to inform policy trade offs across innovation, competition, and child protection. This role will synthesize threat intelligence on how AI generated CSAM and NCII are developed, create scalable screening methodologies that platforms can realistically run, and publish best practice protocols with NGOs to raise the floor across the ecosystem. You'll work closely with engineers and domain experts across AISI, as well as external research collaborators at Home Office, Internet Watch Foundation, and Ofcom. Researchers on this team have substantial freedom to shape independent research agendas, lead collaborations, and initiate projects that push the frontier of what evaluations can reveal. Example Projects Publish a Problem Book framing the technical challenges and research directions for preventing CSAM/NCII misuse across model and hosting layers. Develop threat models for how AI generated CSAM and NCII are created and shared. Design and pilot scalable, automated screening methodologies platforms can run pre publication on uploads (topic general prototypes that avoid exposure to illegal content). Develop approaches for identifying and tracking known or novel CSAM LoRAs to enable platform blocking at upload. Co develop best practice protocols with NGOs (e.g., Thorn/IWF) for hosting, app store, and OS enforcement. This is an individual contributor role with no line management responsibilities. You will report into a senior Research Scientist overseeing our team's misuse workstream. Impact Your work will raise safety standards across hosting and distribution layers, reduce the availability of CSAM/NCII generating artifacts (e.g., LoRAs) on major platforms, inform industry protocols and possibly standards, and provide actionable evidence for government decisions. Crucially, we do not expect this role to handle NCII or CSAM material. Role Requirements We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level. At least 3+ years of relevant experience in applied ML, trust & safety tooling, content moderation, security engineering, or adjacent technical fields; we also welcome strong earlier career applicants (2-3 years) with demonstrated impact in open source technical work. Deep familiarity with open weight image/video models (diffusion, LoRA), model hosting ecosystems (e.g., Hugging Face, GitHub), and the limitations of pre deployment safeguards. Strong methodological rigor and creativity; able to design automated, scalable evaluations and detection methods that generalise and avoid reliance on illegal content. Strong Python and ML stack (PyTorch/JAX), data engineering, and systems skills; experience building pipelines and tooling that run at platform scale. Knowledge of fingerprinting and detection approaches (e.g., perceptual hashing, embedding based similarity, behavioural signatures), and their privacy and robustness trade offs. Excellent writing and communication for technical and policy audiences; ability to translate evidence into practical governance guidance. High agency, ethical judgment, and safe working practices for sensitive topics. Commit to work from our London office in Whitehall for parts of the week, with flexibility for remote work. We're looking for full time commitment but are open to part time arrangements. Preferred Experience collaborating with hosting platforms, app stores, OS vendors, or regulators (e.g., Ofcom) on safety by design initiatives. Familiarity with Online Safety Act requirements and platform trust & safety operations; prior work with NGOs such as IWF, Thorn, or STOPNCII.org. Expertise in diffusion models and adaptation techniques (LoRA), model evaluation, and secure tooling for sensitive domains. Experience with privacy preserving computation, metadata poor detection, and standardization efforts (RFCs, protocols). Open source contributions (tools, libraries) and evidence of leading cross sector technical projects. Example backgrounds Senior trust & safety engineer who built automated content integrity pipelines for a large platform; strong OS/Strack record; experience with model hosting ecosystems. Applied ML researcher with a PhD/postdoc in computer vision or ML safety; hands on with diffusion/LoRA; led evaluations and published tooling used by industry. Security/data engineer with 3+ years building scalable detection systems; experience in fingerprinting, hashing, and privacy preserving methods; collaborated with regulators/NGOs. What we offer Impact you couldn't have anywhere else Incredibly talented, mission driven and supportive colleagues Direct influence on how frontier AI is governed and deployed globally Work with the Prime Minister's AI Advisor and leading AI companies Opportunity to shape the first & best resourced public interest research team focused on AI security Resources & access Pre release access to multiple frontier models and ample compute Extensive operational support so you can focus on research and ship quickly Work with experts across national security, policy, AI research, and adjacent sciences If you're talented and driven, you'll own important problems early. 5 development days per year, an annual L&D budget, and travel support for conferences and external collaborations. Freedom to pursue research bets without product pressure Opportunities to publish and collaborate externally Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford, or Bristol Hybrid working with opportunities for occasional remote work abroad At least 25 days' annual leave, 8 public holidays, and extra team wide breaks Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) Plus: 27% government funded pension contribution on top of salary, work from home equipment and dental insurance Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 27% employer pension and other benefits on top (details on the "what we offer" section on our careers page). This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Salary ranges Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 . click apply for full job details
Feb 28, 2026
Full time
Research Scientist, Open Source Technical Safeguards London, UK About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Societal Resilience Societal Resilience is a multidisciplinary team that studies how advanced AI models can impact people and society. We research the prevalence and severity of high impact societal risks caused by frontier AI deployment, and develop mitigations to address these risks. Core research topics include the use of AI for assisting with criminal activities, preventing critical overreliance on insufficiently robust systems, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium term risks. Why this team matters One emerging risk area we are concerned with is the use of open weight models to drive risks like child sexual abuse material (CSAM) and non consensual intimate imagery (NCII) generation. AISI has previously published research on methods for making open weight models more robust against malicious tampering. In this role, you'll join a strongly collaborative technical research team to help design and develop technical safeguards for open weight models that will reduce the risks of CSAM, NCII, and other risks. We do not expect this role to handle this kind of content directly. About the role This is a research scientist position focused on developing technical safeguards against tampering with open weight models. The role will focus on mitigating AI generated CSAM and NCII by targeting the real world supply chain driving harm: open weight models, adaptation artifacts (LoRAs, guides), and downstream distribution infrastructure (hosting platforms, app stores, operating systems). Our approach prioritises downstream mitigations and actors beyond frontier model developers. This role will build technical tools, protocols, and evidence that platforms and OS/app ecosystems can adopt. This work belongs inside UK government because effective mitigation requires cross agency coordination (Home Office, DSIT, Ofcom), engagement with regulated platforms under the Online Safety Act, and credible evidence to inform policy trade offs across innovation, competition, and child protection. This role will synthesize threat intelligence on how AI generated CSAM and NCII are developed, create scalable screening methodologies that platforms can realistically run, and publish best practice protocols with NGOs to raise the floor across the ecosystem. You'll work closely with engineers and domain experts across AISI, as well as external research collaborators at Home Office, Internet Watch Foundation, and Ofcom. Researchers on this team have substantial freedom to shape independent research agendas, lead collaborations, and initiate projects that push the frontier of what evaluations can reveal. Example Projects Publish a Problem Book framing the technical challenges and research directions for preventing CSAM/NCII misuse across model and hosting layers. Develop threat models for how AI generated CSAM and NCII are created and shared. Design and pilot scalable, automated screening methodologies platforms can run pre publication on uploads (topic general prototypes that avoid exposure to illegal content). Develop approaches for identifying and tracking known or novel CSAM LoRAs to enable platform blocking at upload. Co develop best practice protocols with NGOs (e.g., Thorn/IWF) for hosting, app store, and OS enforcement. This is an individual contributor role with no line management responsibilities. You will report into a senior Research Scientist overseeing our team's misuse workstream. Impact Your work will raise safety standards across hosting and distribution layers, reduce the availability of CSAM/NCII generating artifacts (e.g., LoRAs) on major platforms, inform industry protocols and possibly standards, and provide actionable evidence for government decisions. Crucially, we do not expect this role to handle NCII or CSAM material. Role Requirements We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level. At least 3+ years of relevant experience in applied ML, trust & safety tooling, content moderation, security engineering, or adjacent technical fields; we also welcome strong earlier career applicants (2-3 years) with demonstrated impact in open source technical work. Deep familiarity with open weight image/video models (diffusion, LoRA), model hosting ecosystems (e.g., Hugging Face, GitHub), and the limitations of pre deployment safeguards. Strong methodological rigor and creativity; able to design automated, scalable evaluations and detection methods that generalise and avoid reliance on illegal content. Strong Python and ML stack (PyTorch/JAX), data engineering, and systems skills; experience building pipelines and tooling that run at platform scale. Knowledge of fingerprinting and detection approaches (e.g., perceptual hashing, embedding based similarity, behavioural signatures), and their privacy and robustness trade offs. Excellent writing and communication for technical and policy audiences; ability to translate evidence into practical governance guidance. High agency, ethical judgment, and safe working practices for sensitive topics. Commit to work from our London office in Whitehall for parts of the week, with flexibility for remote work. We're looking for full time commitment but are open to part time arrangements. Preferred Experience collaborating with hosting platforms, app stores, OS vendors, or regulators (e.g., Ofcom) on safety by design initiatives. Familiarity with Online Safety Act requirements and platform trust & safety operations; prior work with NGOs such as IWF, Thorn, or STOPNCII.org. Expertise in diffusion models and adaptation techniques (LoRA), model evaluation, and secure tooling for sensitive domains. Experience with privacy preserving computation, metadata poor detection, and standardization efforts (RFCs, protocols). Open source contributions (tools, libraries) and evidence of leading cross sector technical projects. Example backgrounds Senior trust & safety engineer who built automated content integrity pipelines for a large platform; strong OS/Strack record; experience with model hosting ecosystems. Applied ML researcher with a PhD/postdoc in computer vision or ML safety; hands on with diffusion/LoRA; led evaluations and published tooling used by industry. Security/data engineer with 3+ years building scalable detection systems; experience in fingerprinting, hashing, and privacy preserving methods; collaborated with regulators/NGOs. What we offer Impact you couldn't have anywhere else Incredibly talented, mission driven and supportive colleagues Direct influence on how frontier AI is governed and deployed globally Work with the Prime Minister's AI Advisor and leading AI companies Opportunity to shape the first & best resourced public interest research team focused on AI security Resources & access Pre release access to multiple frontier models and ample compute Extensive operational support so you can focus on research and ship quickly Work with experts across national security, policy, AI research, and adjacent sciences If you're talented and driven, you'll own important problems early. 5 development days per year, an annual L&D budget, and travel support for conferences and external collaborations. Freedom to pursue research bets without product pressure Opportunities to publish and collaborate externally Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford, or Bristol Hybrid working with opportunities for occasional remote work abroad At least 25 days' annual leave, 8 public holidays, and extra team wide breaks Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) Plus: 27% government funded pension contribution on top of salary, work from home equipment and dental insurance Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 27% employer pension and other benefits on top (details on the "what we offer" section on our careers page). This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Salary ranges Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 . click apply for full job details
Job Title: Senior AI Scientist - Hit Discovery and Protein Sciences Location: Cambridge, UK Competitive salary and benefits Introduction to the role: Are you acuriousDataand AIScientist seeking a role where yourexpertisecan make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment and transform the way we discoverhitsand protein reagentsin drug discovery. Diverse Minds. Bold Disruptors. Meaningful Impactthrough Partnership. At AstraZenecawe'rededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There'sno better place to make a difference to medicine,patientsand society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growthand development. Join a place built on innovation and creativity. We harness digital, data science & AI to fast-forward our research. Your scientific vision would ensure that new small moleculesand peptidesdiscovered usingyour skillsandinpartnershipwith our technical platformscan serve as the seeds for future medicines and make a real difference in our mission to help patients. You will be basedin early drug discovery R&DwithinData Sciences & Quantitative Biologydepartmentin Discovery Sciencesand will work closely with our colleagues in the Hit Discoveryand Protein Sciencesdepartments.To learn more about our department and culture watch this video: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca. What you will do You will develop data science, computational and AI solutions to enable the discovery of hits (small molecules and peptides) and protein reagents enhancing the output from our hit and ledatageneration platforms. This will involve close collaboration with screening scientists, chemists, biologists, informaticians and statisticians. Wetruly believethat everyone hasan important rolein drug discoveryandeach individualbringsaunique set of competencies. Your curiosity and passion for personal development combined with support from colleagues and leaders, will ensure you maximise your potential and contribution, building from your current skills and experience. Essential requirements: Our team is a highly collaborative group of scientists, working in an evolving technical and scientific landscape. Therefore, you will be comfortable workingin a dynamic and team-focussedenvironment. Critical will be tohave effective communication skills and a proactive and delivery-focused approach. Aligned to Hit Discoveryand Protein Sciencesactivities, you will bring analytical skills,innovationand your strategic mindsetto this excitingand evolvingarea. A PhD or equivalent numbers of years in industry/academia in bioinformatics, cheminformatics, computer science, AI/ML, statistics or related computational and data science subject areas applied to chemistry, biology or medicine. Experience in data science, AI/ML and/or modelling methods applied to the analysis of highly multidimensional or unstructured datasets in molecular, drug discovery or biomedical contexts. Programming in Python, R and/or Shell, and experience with querying and integrating data from disparate sources (e.g. SQL, NoSQL, Graph or file-based approaches). Experience in developing computational workflows applied to the analysis of experimental or AI-generated data (e.g. Nextflow or Snakemake), knowledge of version control systems (e.g. Git and GitHub) and high-performance computing infrastructure. Experiencereporting data analysis results, drawing conclusions and defining recommended actions in interdisciplinary and collaborative environments. Desirables: Experience in AI/ML and/or physics-based mathematical modelling methods applied to peptides, small molecules and/or proteins. Experience in data analysis of high-throughput assays (peptides /small molecule screens, virtual or high content screening, chemical profiling, mass spectrometry, recombinant protein expression and/or omics). Experience in developing software and packages. Track record of publishing relevant research as preprints, peer-reviewed journals, conferences, and other scientific proceedings. Ability to collaborate and build consensus across cross-functional teams. Ability to identify opportunities and synergies across projects. Experience in communicating chemistry and protein concepts within a data science context. Why AstraZeneca There are many opportunities to develop yourself and your career. From our diverse portfolio and collaboration to our ground-breaking innovations -it's a place for lifelong learning. You'll be based in our Discovery Centre placed in the heart of the Cambridge Biomedical Campus - an open, welcoming and vibrant centre that will encourage us and our partners to push the boundaries of scientific innovation. Next Steps: Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Please apply via the link and one of our team members will be in touch as soon as possible. This is being actively recruited so early application is advised. Where can you find more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram
Feb 28, 2026
Full time
Job Title: Senior AI Scientist - Hit Discovery and Protein Sciences Location: Cambridge, UK Competitive salary and benefits Introduction to the role: Are you acuriousDataand AIScientist seeking a role where yourexpertisecan make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment and transform the way we discoverhitsand protein reagentsin drug discovery. Diverse Minds. Bold Disruptors. Meaningful Impactthrough Partnership. At AstraZenecawe'rededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There'sno better place to make a difference to medicine,patientsand society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growthand development. Join a place built on innovation and creativity. We harness digital, data science & AI to fast-forward our research. Your scientific vision would ensure that new small moleculesand peptidesdiscovered usingyour skillsandinpartnershipwith our technical platformscan serve as the seeds for future medicines and make a real difference in our mission to help patients. You will be basedin early drug discovery R&DwithinData Sciences & Quantitative Biologydepartmentin Discovery Sciencesand will work closely with our colleagues in the Hit Discoveryand Protein Sciencesdepartments.To learn more about our department and culture watch this video: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca. What you will do You will develop data science, computational and AI solutions to enable the discovery of hits (small molecules and peptides) and protein reagents enhancing the output from our hit and ledatageneration platforms. This will involve close collaboration with screening scientists, chemists, biologists, informaticians and statisticians. Wetruly believethat everyone hasan important rolein drug discoveryandeach individualbringsaunique set of competencies. Your curiosity and passion for personal development combined with support from colleagues and leaders, will ensure you maximise your potential and contribution, building from your current skills and experience. Essential requirements: Our team is a highly collaborative group of scientists, working in an evolving technical and scientific landscape. Therefore, you will be comfortable workingin a dynamic and team-focussedenvironment. Critical will be tohave effective communication skills and a proactive and delivery-focused approach. Aligned to Hit Discoveryand Protein Sciencesactivities, you will bring analytical skills,innovationand your strategic mindsetto this excitingand evolvingarea. A PhD or equivalent numbers of years in industry/academia in bioinformatics, cheminformatics, computer science, AI/ML, statistics or related computational and data science subject areas applied to chemistry, biology or medicine. Experience in data science, AI/ML and/or modelling methods applied to the analysis of highly multidimensional or unstructured datasets in molecular, drug discovery or biomedical contexts. Programming in Python, R and/or Shell, and experience with querying and integrating data from disparate sources (e.g. SQL, NoSQL, Graph or file-based approaches). Experience in developing computational workflows applied to the analysis of experimental or AI-generated data (e.g. Nextflow or Snakemake), knowledge of version control systems (e.g. Git and GitHub) and high-performance computing infrastructure. Experiencereporting data analysis results, drawing conclusions and defining recommended actions in interdisciplinary and collaborative environments. Desirables: Experience in AI/ML and/or physics-based mathematical modelling methods applied to peptides, small molecules and/or proteins. Experience in data analysis of high-throughput assays (peptides /small molecule screens, virtual or high content screening, chemical profiling, mass spectrometry, recombinant protein expression and/or omics). Experience in developing software and packages. Track record of publishing relevant research as preprints, peer-reviewed journals, conferences, and other scientific proceedings. Ability to collaborate and build consensus across cross-functional teams. Ability to identify opportunities and synergies across projects. Experience in communicating chemistry and protein concepts within a data science context. Why AstraZeneca There are many opportunities to develop yourself and your career. From our diverse portfolio and collaboration to our ground-breaking innovations -it's a place for lifelong learning. You'll be based in our Discovery Centre placed in the heart of the Cambridge Biomedical Campus - an open, welcoming and vibrant centre that will encourage us and our partners to push the boundaries of scientific innovation. Next Steps: Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Please apply via the link and one of our team members will be in touch as soon as possible. This is being actively recruited so early application is advised. Where can you find more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram
About Maxion Maxion Therapeutics is a biotechnology company developing antibody-based drugs for previously untreatable ion channel- and G protein-coupled receptor (GPCR)-driven diseases, including autoimmune conditions, chronic pain, and cardiovascular disease. Maxion is developing a pipeline of potentially first- and best-in-class therapeutics using its proprietary KnotBody technology to generate potent, selective, and long-acting therapeutics by combining naturally occurring mini-proteins ('knottins') with antibodies using state-of-the-art phage and mammalian display technologies. Maxion was founded in 2020 by Dr John McCafferty (CTO) and Dr Aneesh Karatt-Vellatt (CSO). Dr McCafferty previously co-invented antibody phage display, which was the subject of the 2018 Nobel Prize in Chemistry awarded to his co-inventor Sir Gregory Winter. The Company is based near Cambridge, UK and is backed by international blue-chip investors. For more information, please visit: About the Role We are seeking a highly skilled Senior AI Research Scientist with expertise in computational protein design and generative protein modelling to enable AI- and structure-guided approaches to therapeutic antibody and KnotBody design. The successful candidate will drive the development, implementation, deployment and adoption of generative AI/ML models to enable therapeutic protein design, engineering and optimisation, utilising Maxion's proprietary KnotBody technology. This is a unique opportunity for someone who is excited to roll up their sleeves, build new capabilities from the ground up, and drive forward discovery programmes. The successful candidate will bring strong technical skills, a collaborative mindset, and the ability to thrive in a fast-paced biotech environment. Key Responsibilities Develop the computational protein design platform through integration, adaptation and benchmarking of generative protein design & engineering tools (AlphaFold/OpenFold, RFDiffusion, ProteinMPNN, Boltz, FrameFlow, etc) into the drug discovery process. Build generative and predictive models for protein design by training and fine-tuning ML models (VAEs, diffusion models, transformers) focused on prediction of functional therapeutic proteins and their properties (affinity, stability, and developability). Enable computational optimisation of therapeutic proteins, leveraging various ML approaches (genetic algorithms, Bayesian optimisation, physics-based methods, etc.) and integrating experimental data. Build datasets, data pipelines, training workflows, and evaluation tools for model training, benchmarking, and continuous learning. Cross functional collaboration with internal R&D and discovery teams to translate predictive models into deployable tools and testable experimental hypotheses. Candidate Profile Ph.D. or MSc. in Computational Biology, Computer Science, Bioinformatics, Natural Sciences or a related subject. Essential skills/experience Strong programming skills in Python and experience with deep learning frameworks (PyTorch, JAX, TensorFlow in order of preference). Substantial experience of structural bioinformatics and computational protein design, for example: protein structure modelling & prediction, generative protein sequence & structure design, protein-protein docking, physics-based modelling & simulation, etc. Experience training and fine-tuning ML models for protein design or related tasks. Experience of integrating computational predictions with experimental validation data for property optimisation. Experience working with modern MLOps stacks (Docker, Kubernetes, CI/CD, GitHub, etc.) to deploy and monitor models. Experience working with antibody sequence and structure datasets, using in silico tools for predicting protein properties and guiding engineering campaigns. Desirable skills/experience Publication(s) in relevant peer-reviewed journals, ideally focused on antibody design, AI/ML based protein modelling, or non-standard scaffolds (e.g. knottins, minibinders, etc.). Experience applying generative or structure-based models to challenging target classes (e.g. ion channels, GPCRs). What can we offer you? A competitive salary based on experience A comprehensive benefits package including generous pension contribution, Private Life and Medical Insurance, Cycle to Work Scheme, participation in the company Share Option Scheme, on site parking and more. Significant opportunities for career progression within a dynamic company. Located in a state-of-the art Science Park with easy access to Cambridge by car, train and bus, and offering on-site gym, cafe, and a vibrant social community. Working alongside an innovative team of scientists, including the founders, who are Key Opinion Leaders in the field. A supportive work environment with a key focus on fostering collaborative working environment within a friendly team. To apply for this position, just click on the link to upload your CV and covering letter outlining your suitability for this role, including your salary expectations. Due to data safety, please do not email or apply via direct messaging. This is a permanent position. Agencies: We are recruiting this role with our selected recruitment partner - PIR International. If you need to get in touch regarding the role please reach out directly to the contact at PIR:
Feb 28, 2026
Full time
About Maxion Maxion Therapeutics is a biotechnology company developing antibody-based drugs for previously untreatable ion channel- and G protein-coupled receptor (GPCR)-driven diseases, including autoimmune conditions, chronic pain, and cardiovascular disease. Maxion is developing a pipeline of potentially first- and best-in-class therapeutics using its proprietary KnotBody technology to generate potent, selective, and long-acting therapeutics by combining naturally occurring mini-proteins ('knottins') with antibodies using state-of-the-art phage and mammalian display technologies. Maxion was founded in 2020 by Dr John McCafferty (CTO) and Dr Aneesh Karatt-Vellatt (CSO). Dr McCafferty previously co-invented antibody phage display, which was the subject of the 2018 Nobel Prize in Chemistry awarded to his co-inventor Sir Gregory Winter. The Company is based near Cambridge, UK and is backed by international blue-chip investors. For more information, please visit: About the Role We are seeking a highly skilled Senior AI Research Scientist with expertise in computational protein design and generative protein modelling to enable AI- and structure-guided approaches to therapeutic antibody and KnotBody design. The successful candidate will drive the development, implementation, deployment and adoption of generative AI/ML models to enable therapeutic protein design, engineering and optimisation, utilising Maxion's proprietary KnotBody technology. This is a unique opportunity for someone who is excited to roll up their sleeves, build new capabilities from the ground up, and drive forward discovery programmes. The successful candidate will bring strong technical skills, a collaborative mindset, and the ability to thrive in a fast-paced biotech environment. Key Responsibilities Develop the computational protein design platform through integration, adaptation and benchmarking of generative protein design & engineering tools (AlphaFold/OpenFold, RFDiffusion, ProteinMPNN, Boltz, FrameFlow, etc) into the drug discovery process. Build generative and predictive models for protein design by training and fine-tuning ML models (VAEs, diffusion models, transformers) focused on prediction of functional therapeutic proteins and their properties (affinity, stability, and developability). Enable computational optimisation of therapeutic proteins, leveraging various ML approaches (genetic algorithms, Bayesian optimisation, physics-based methods, etc.) and integrating experimental data. Build datasets, data pipelines, training workflows, and evaluation tools for model training, benchmarking, and continuous learning. Cross functional collaboration with internal R&D and discovery teams to translate predictive models into deployable tools and testable experimental hypotheses. Candidate Profile Ph.D. or MSc. in Computational Biology, Computer Science, Bioinformatics, Natural Sciences or a related subject. Essential skills/experience Strong programming skills in Python and experience with deep learning frameworks (PyTorch, JAX, TensorFlow in order of preference). Substantial experience of structural bioinformatics and computational protein design, for example: protein structure modelling & prediction, generative protein sequence & structure design, protein-protein docking, physics-based modelling & simulation, etc. Experience training and fine-tuning ML models for protein design or related tasks. Experience of integrating computational predictions with experimental validation data for property optimisation. Experience working with modern MLOps stacks (Docker, Kubernetes, CI/CD, GitHub, etc.) to deploy and monitor models. Experience working with antibody sequence and structure datasets, using in silico tools for predicting protein properties and guiding engineering campaigns. Desirable skills/experience Publication(s) in relevant peer-reviewed journals, ideally focused on antibody design, AI/ML based protein modelling, or non-standard scaffolds (e.g. knottins, minibinders, etc.). Experience applying generative or structure-based models to challenging target classes (e.g. ion channels, GPCRs). What can we offer you? A competitive salary based on experience A comprehensive benefits package including generous pension contribution, Private Life and Medical Insurance, Cycle to Work Scheme, participation in the company Share Option Scheme, on site parking and more. Significant opportunities for career progression within a dynamic company. Located in a state-of-the art Science Park with easy access to Cambridge by car, train and bus, and offering on-site gym, cafe, and a vibrant social community. Working alongside an innovative team of scientists, including the founders, who are Key Opinion Leaders in the field. A supportive work environment with a key focus on fostering collaborative working environment within a friendly team. To apply for this position, just click on the link to upload your CV and covering letter outlining your suitability for this role, including your salary expectations. Due to data safety, please do not email or apply via direct messaging. This is a permanent position. Agencies: We are recruiting this role with our selected recruitment partner - PIR International. If you need to get in touch regarding the role please reach out directly to the contact at PIR:
400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
Feb 27, 2026
Contractor
400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
Deputy Director, Central Data Science and AI - Office for National Statistics - SCS1 The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The locations for this role are Newport, Titchfield (Fareham), Manchester & London. All SCS colleagues are required to work from their contractually allocated site for at least 60% of their working time. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is theUK's largest producer of official statistics,covering a range of key economic, social and demographictopics. These includemeasuring changes in the value of the UKeconomy, estimating the size, geographicdistribution, and characteristicsof thepopulation, and providing indicators of priceinflation, employment, earnings, crime, andmigration. Central Data Science and AI (CDS-AI) is part of Strategic Innovation and Analysis Directorate and applies data science, and builds skills, for public good across the UK and internationally. Our role is to apply data science and AI in impactful ways to improve statistics, the operations of the Office for National Statistics, and wider public sector (domestic and international) decision making. Established within the ONS in 2017, we've built up a strong team and a network of third party participants in the mission of the CDS AI and have established a series of impactful projects that improve the quality of our statistical production and provides insight into key policy themes. The CDS AI is an internationally renowned centre of excellence with an international reputation in leading the data science and AI agenda, particularly as it applies to National Statistical Organisations such as the ONS. As well as supporting ONS to apply new techniques to understand the UK's economy and society, the CDS AI acts as a hub for government to gain practical advantage from the wider investment in data science research. Alongside working closely with internal colleagues and external stakeholders on cross cutting areas, the work of the CDS AI is applied to and informs the statistics production and insights that the ONS produces. CDS AI is looking for a new Deputy Director to help lead the next phase of data science capacity building throughout ONS and across government. CDS AI and SIA is a friendly, diverse and collaborative environment, and this leadership role oversees established applied data science and programme teams situated across our four UK hubs. You will be passionate about using state of the art data science methods and a myriad of data sources available for public good. This post will give you the opportunity to improve the quality of ONS's statistical production and inform vital public policy responses to cross cutting and topical issues in the UK and internationally, working across multiple domains. You will be responsible for over 80 CDS AI staff - data scientists, developers, project delivery, and programme managers who deliver data science projects and programmes. Our remit stretches beyond improving official statistics and supports better decision making in the UK and internationally. In this role you will be responsible for a broad programme of multidisciplinary data science projects and programmes, and for managing resources to ensure effective delivery. Our programmes seek to apply of data science and AI within the domestic and international public sector, providing faster and more meaningful analysis, enabling more effective decision making, and delivering significant impact on a national and international scale. Above all else, these projects are undertaken with integrity and trustworthiness, and underpinned by adherence to a rigorous ethical framework. You will also lead the Data Science International team that develops and delivers a range of programmes to support the use of data science and AI in a range of countries and also international organisations such as the United Nations and also the Statistical Insights and Analysis Hub which delivers analysis to support ONS's priorities, and works with the Joint Data Analysis Centre (JDAC) to leverage ONS knowledge and experience to provide deeper insight about the economy and population to support Cabinet Office priorities. Key Responsibilities: Be a proactive member of the Senior Leadership Team that leads the CDS AI and Strategic Innovation and Analysis Directorate; Provide inclusive leadership to a multi-disciplinary data science division, with four Grade 6s reporting into you, leading them in identifying areas in which to do impactful applied data science and AI work, and ensuring delivery of that work, with robust quality assurance and rigorous adherence to ethical standards; Lead your division in developing strong stakeholder engagement and communication skills to enable your division to prioritise resources against the most important and potentially impactful needs; Focusing the work of your team on improving the quality of our statistics production by building modern statistical pipelines, making use of cloud technology as part of delivering on the plan for ONS economic statistics and the ONS Survey Improvement and Enhancement Plan for Economic Statistics both of which were published in 2025. This will also include examining and developing AI based apps to safely integrate into statistical production workflows to improve quality and deliver efficiencies; Leading on ONS's relationship with Cabinet Office in terms of the Joint Data and Analysis Centre (JDAC) where "Joint" is joint between ONS and Cabinet Office, leading the Analytical Hub which works closely with Cabinet Office data scientists and analysts on key Cabinet Office issues; Lead the CDS AI work with the international community, working with colleagues in the ONS's International Relation and International Development Teams and with colleagues in FCDO to develop and deliver a coherent portfolio of international work; Ensure proper project management and budgetary responsibility; Play a visible leadership role in the wider public sector data science community, working closely with the Government Analysis and Government Digital and Data Functions as needed; Be a proactive member of the Senior Civil Service, working closely with colleagues in ONS and across Government. For more information, please refer to candidate pack attached. Person specification Candidates are expected to evidence these criteria within their CV and Personal Statement: Experience of shaping strategy, policy, and operations, working with diverse set of internal and external senior stakeholders from problem-definition to delivery; Abroad knowledge of the data science and AI landscape and the use and application of data science and AI within Government and other sectors; Experience providing inclusive leadership to lead and develop a high-performing multi-disciplinary technically strong division with a track record of creating a culture of innovation and continuous improvement and delivering impactful applied data science and AI work; Experience of cross-organisation working to take innovative prototypes and proofs of concept to full implementation into business systems; Experience of successful portfolio and delivery management; Excellent communication skills and senior stakeholder engagement skills to identify the value and limitations of data science and AI solutions.
Feb 27, 2026
Full time
Deputy Director, Central Data Science and AI - Office for National Statistics - SCS1 The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The locations for this role are Newport, Titchfield (Fareham), Manchester & London. All SCS colleagues are required to work from their contractually allocated site for at least 60% of their working time. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is theUK's largest producer of official statistics,covering a range of key economic, social and demographictopics. These includemeasuring changes in the value of the UKeconomy, estimating the size, geographicdistribution, and characteristicsof thepopulation, and providing indicators of priceinflation, employment, earnings, crime, andmigration. Central Data Science and AI (CDS-AI) is part of Strategic Innovation and Analysis Directorate and applies data science, and builds skills, for public good across the UK and internationally. Our role is to apply data science and AI in impactful ways to improve statistics, the operations of the Office for National Statistics, and wider public sector (domestic and international) decision making. Established within the ONS in 2017, we've built up a strong team and a network of third party participants in the mission of the CDS AI and have established a series of impactful projects that improve the quality of our statistical production and provides insight into key policy themes. The CDS AI is an internationally renowned centre of excellence with an international reputation in leading the data science and AI agenda, particularly as it applies to National Statistical Organisations such as the ONS. As well as supporting ONS to apply new techniques to understand the UK's economy and society, the CDS AI acts as a hub for government to gain practical advantage from the wider investment in data science research. Alongside working closely with internal colleagues and external stakeholders on cross cutting areas, the work of the CDS AI is applied to and informs the statistics production and insights that the ONS produces. CDS AI is looking for a new Deputy Director to help lead the next phase of data science capacity building throughout ONS and across government. CDS AI and SIA is a friendly, diverse and collaborative environment, and this leadership role oversees established applied data science and programme teams situated across our four UK hubs. You will be passionate about using state of the art data science methods and a myriad of data sources available for public good. This post will give you the opportunity to improve the quality of ONS's statistical production and inform vital public policy responses to cross cutting and topical issues in the UK and internationally, working across multiple domains. You will be responsible for over 80 CDS AI staff - data scientists, developers, project delivery, and programme managers who deliver data science projects and programmes. Our remit stretches beyond improving official statistics and supports better decision making in the UK and internationally. In this role you will be responsible for a broad programme of multidisciplinary data science projects and programmes, and for managing resources to ensure effective delivery. Our programmes seek to apply of data science and AI within the domestic and international public sector, providing faster and more meaningful analysis, enabling more effective decision making, and delivering significant impact on a national and international scale. Above all else, these projects are undertaken with integrity and trustworthiness, and underpinned by adherence to a rigorous ethical framework. You will also lead the Data Science International team that develops and delivers a range of programmes to support the use of data science and AI in a range of countries and also international organisations such as the United Nations and also the Statistical Insights and Analysis Hub which delivers analysis to support ONS's priorities, and works with the Joint Data Analysis Centre (JDAC) to leverage ONS knowledge and experience to provide deeper insight about the economy and population to support Cabinet Office priorities. Key Responsibilities: Be a proactive member of the Senior Leadership Team that leads the CDS AI and Strategic Innovation and Analysis Directorate; Provide inclusive leadership to a multi-disciplinary data science division, with four Grade 6s reporting into you, leading them in identifying areas in which to do impactful applied data science and AI work, and ensuring delivery of that work, with robust quality assurance and rigorous adherence to ethical standards; Lead your division in developing strong stakeholder engagement and communication skills to enable your division to prioritise resources against the most important and potentially impactful needs; Focusing the work of your team on improving the quality of our statistics production by building modern statistical pipelines, making use of cloud technology as part of delivering on the plan for ONS economic statistics and the ONS Survey Improvement and Enhancement Plan for Economic Statistics both of which were published in 2025. This will also include examining and developing AI based apps to safely integrate into statistical production workflows to improve quality and deliver efficiencies; Leading on ONS's relationship with Cabinet Office in terms of the Joint Data and Analysis Centre (JDAC) where "Joint" is joint between ONS and Cabinet Office, leading the Analytical Hub which works closely with Cabinet Office data scientists and analysts on key Cabinet Office issues; Lead the CDS AI work with the international community, working with colleagues in the ONS's International Relation and International Development Teams and with colleagues in FCDO to develop and deliver a coherent portfolio of international work; Ensure proper project management and budgetary responsibility; Play a visible leadership role in the wider public sector data science community, working closely with the Government Analysis and Government Digital and Data Functions as needed; Be a proactive member of the Senior Civil Service, working closely with colleagues in ONS and across Government. For more information, please refer to candidate pack attached. Person specification Candidates are expected to evidence these criteria within their CV and Personal Statement: Experience of shaping strategy, policy, and operations, working with diverse set of internal and external senior stakeholders from problem-definition to delivery; Abroad knowledge of the data science and AI landscape and the use and application of data science and AI within Government and other sectors; Experience providing inclusive leadership to lead and develop a high-performing multi-disciplinary technically strong division with a track record of creating a culture of innovation and continuous improvement and delivering impactful applied data science and AI work; Experience of cross-organisation working to take innovative prototypes and proofs of concept to full implementation into business systems; Experience of successful portfolio and delivery management; Excellent communication skills and senior stakeholder engagement skills to identify the value and limitations of data science and AI solutions.
Deputy Director, Central Data Science and AI - Office for National Statistics - SCS1 The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The locations for this role are Newport, Titchfield (Fareham), Manchester & London. All SCS colleagues are required to work from their contractually allocated site for at least 60% of their working time. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is theUK's largest producer of official statistics,covering a range of key economic, social and demographictopics. These includemeasuring changes in the value of the UKeconomy, estimating the size, geographicdistribution, and characteristicsof thepopulation, and providing indicators of priceinflation, employment, earnings, crime, andmigration. Central Data Science and AI (CDS-AI) is part of Strategic Innovation and Analysis Directorate and applies data science, and builds skills, for public good across the UK and internationally. Our role is to apply data science and AI in impactful ways to improve statistics, the operations of the Office for National Statistics, and wider public sector (domestic and international) decision making. Established within the ONS in 2017, we've built up a strong team and a network of third party participants in the mission of the CDS AI and have established a series of impactful projects that improve the quality of our statistical production and provides insight into key policy themes. The CDS AI is an internationally renowned centre of excellence with an international reputation in leading the data science and AI agenda, particularly as it applies to National Statistical Organisations such as the ONS. As well as supporting ONS to apply new techniques to understand the UK's economy and society, the CDS AI acts as a hub for government to gain practical advantage from the wider investment in data science research. Alongside working closely with internal colleagues and external stakeholders on cross cutting areas, the work of the CDS AI is applied to and informs the statistics production and insights that the ONS produces. CDS AI is looking for a new Deputy Director to help lead the next phase of data science capacity building throughout ONS and across government. CDS AI and SIA is a friendly, diverse and collaborative environment, and this leadership role oversees established applied data science and programme teams situated across our four UK hubs. You will be passionate about using state of the art data science methods and a myriad of data sources available for public good. This post will give you the opportunity to improve the quality of ONS's statistical production and inform vital public policy responses to cross cutting and topical issues in the UK and internationally, working across multiple domains. You will be responsible for over 80 CDS AI staff - data scientists, developers, project delivery, and programme managers who deliver data science projects and programmes. Our remit stretches beyond improving official statistics and supports better decision making in the UK and internationally. In this role you will be responsible for a broad programme of multidisciplinary data science projects and programmes, and for managing resources to ensure effective delivery. Our programmes seek to apply of data science and AI within the domestic and international public sector, providing faster and more meaningful analysis, enabling more effective decision making, and delivering significant impact on a national and international scale. Above all else, these projects are undertaken with integrity and trustworthiness, and underpinned by adherence to a rigorous ethical framework. You will also lead the Data Science International team that develops and delivers a range of programmes to support the use of data science and AI in a range of countries and also international organisations such as the United Nations and also the Statistical Insights and Analysis Hub which delivers analysis to support ONS's priorities, and works with the Joint Data Analysis Centre (JDAC) to leverage ONS knowledge and experience to provide deeper insight about the economy and population to support Cabinet Office priorities. Key Responsibilities: Be a proactive member of the Senior Leadership Team that leads the CDS AI and Strategic Innovation and Analysis Directorate; Provide inclusive leadership to a multi-disciplinary data science division, with four Grade 6s reporting into you, leading them in identifying areas in which to do impactful applied data science and AI work, and ensuring delivery of that work, with robust quality assurance and rigorous adherence to ethical standards; Lead your division in developing strong stakeholder engagement and communication skills to enable your division to prioritise resources against the most important and potentially impactful needs; Focusing the work of your team on improving the quality of our statistics production by building modern statistical pipelines, making use of cloud technology as part of delivering on the plan for ONS economic statistics and the ONS Survey Improvement and Enhancement Plan for Economic Statistics both of which were published in 2025. This will also include examining and developing AI based apps to safely integrate into statistical production workflows to improve quality and deliver efficiencies; Leading on ONS's relationship with Cabinet Office in terms of the Joint Data and Analysis Centre (JDAC) where "Joint" is joint between ONS and Cabinet Office, leading the Analytical Hub which works closely with Cabinet Office data scientists and analysts on key Cabinet Office issues; Lead the CDS AI work with the international community, working with colleagues in the ONS's International Relation and International Development Teams and with colleagues in FCDO to develop and deliver a coherent portfolio of international work; Ensure proper project management and budgetary responsibility; Play a visible leadership role in the wider public sector data science community, working closely with the Government Analysis and Government Digital and Data Functions as needed; Be a proactive member of the Senior Civil Service, working closely with colleagues in ONS and across Government. For more information, please refer to candidate pack attached. Person specification Candidates are expected to evidence these criteria within their CV and Personal Statement: Experience of shaping strategy, policy, and operations, working with diverse set of internal and external senior stakeholders from problem-definition to delivery; Abroad knowledge of the data science and AI landscape and the use and application of data science and AI within Government and other sectors; Experience providing inclusive leadership to lead and develop a high-performing multi-disciplinary technically strong division with a track record of creating a culture of innovation and continuous improvement and delivering impactful applied data science and AI work; Experience of cross-organisation working to take innovative prototypes and proofs of concept to full implementation into business systems; Experience of successful portfolio and delivery management; Excellent communication skills and senior stakeholder engagement skills to identify the value and limitations of data science and AI solutions.
Feb 27, 2026
Full time
Deputy Director, Central Data Science and AI - Office for National Statistics - SCS1 The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The locations for this role are Newport, Titchfield (Fareham), Manchester & London. All SCS colleagues are required to work from their contractually allocated site for at least 60% of their working time. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is theUK's largest producer of official statistics,covering a range of key economic, social and demographictopics. These includemeasuring changes in the value of the UKeconomy, estimating the size, geographicdistribution, and characteristicsof thepopulation, and providing indicators of priceinflation, employment, earnings, crime, andmigration. Central Data Science and AI (CDS-AI) is part of Strategic Innovation and Analysis Directorate and applies data science, and builds skills, for public good across the UK and internationally. Our role is to apply data science and AI in impactful ways to improve statistics, the operations of the Office for National Statistics, and wider public sector (domestic and international) decision making. Established within the ONS in 2017, we've built up a strong team and a network of third party participants in the mission of the CDS AI and have established a series of impactful projects that improve the quality of our statistical production and provides insight into key policy themes. The CDS AI is an internationally renowned centre of excellence with an international reputation in leading the data science and AI agenda, particularly as it applies to National Statistical Organisations such as the ONS. As well as supporting ONS to apply new techniques to understand the UK's economy and society, the CDS AI acts as a hub for government to gain practical advantage from the wider investment in data science research. Alongside working closely with internal colleagues and external stakeholders on cross cutting areas, the work of the CDS AI is applied to and informs the statistics production and insights that the ONS produces. CDS AI is looking for a new Deputy Director to help lead the next phase of data science capacity building throughout ONS and across government. CDS AI and SIA is a friendly, diverse and collaborative environment, and this leadership role oversees established applied data science and programme teams situated across our four UK hubs. You will be passionate about using state of the art data science methods and a myriad of data sources available for public good. This post will give you the opportunity to improve the quality of ONS's statistical production and inform vital public policy responses to cross cutting and topical issues in the UK and internationally, working across multiple domains. You will be responsible for over 80 CDS AI staff - data scientists, developers, project delivery, and programme managers who deliver data science projects and programmes. Our remit stretches beyond improving official statistics and supports better decision making in the UK and internationally. In this role you will be responsible for a broad programme of multidisciplinary data science projects and programmes, and for managing resources to ensure effective delivery. Our programmes seek to apply of data science and AI within the domestic and international public sector, providing faster and more meaningful analysis, enabling more effective decision making, and delivering significant impact on a national and international scale. Above all else, these projects are undertaken with integrity and trustworthiness, and underpinned by adherence to a rigorous ethical framework. You will also lead the Data Science International team that develops and delivers a range of programmes to support the use of data science and AI in a range of countries and also international organisations such as the United Nations and also the Statistical Insights and Analysis Hub which delivers analysis to support ONS's priorities, and works with the Joint Data Analysis Centre (JDAC) to leverage ONS knowledge and experience to provide deeper insight about the economy and population to support Cabinet Office priorities. Key Responsibilities: Be a proactive member of the Senior Leadership Team that leads the CDS AI and Strategic Innovation and Analysis Directorate; Provide inclusive leadership to a multi-disciplinary data science division, with four Grade 6s reporting into you, leading them in identifying areas in which to do impactful applied data science and AI work, and ensuring delivery of that work, with robust quality assurance and rigorous adherence to ethical standards; Lead your division in developing strong stakeholder engagement and communication skills to enable your division to prioritise resources against the most important and potentially impactful needs; Focusing the work of your team on improving the quality of our statistics production by building modern statistical pipelines, making use of cloud technology as part of delivering on the plan for ONS economic statistics and the ONS Survey Improvement and Enhancement Plan for Economic Statistics both of which were published in 2025. This will also include examining and developing AI based apps to safely integrate into statistical production workflows to improve quality and deliver efficiencies; Leading on ONS's relationship with Cabinet Office in terms of the Joint Data and Analysis Centre (JDAC) where "Joint" is joint between ONS and Cabinet Office, leading the Analytical Hub which works closely with Cabinet Office data scientists and analysts on key Cabinet Office issues; Lead the CDS AI work with the international community, working with colleagues in the ONS's International Relation and International Development Teams and with colleagues in FCDO to develop and deliver a coherent portfolio of international work; Ensure proper project management and budgetary responsibility; Play a visible leadership role in the wider public sector data science community, working closely with the Government Analysis and Government Digital and Data Functions as needed; Be a proactive member of the Senior Civil Service, working closely with colleagues in ONS and across Government. For more information, please refer to candidate pack attached. Person specification Candidates are expected to evidence these criteria within their CV and Personal Statement: Experience of shaping strategy, policy, and operations, working with diverse set of internal and external senior stakeholders from problem-definition to delivery; Abroad knowledge of the data science and AI landscape and the use and application of data science and AI within Government and other sectors; Experience providing inclusive leadership to lead and develop a high-performing multi-disciplinary technically strong division with a track record of creating a culture of innovation and continuous improvement and delivering impactful applied data science and AI work; Experience of cross-organisation working to take innovative prototypes and proofs of concept to full implementation into business systems; Experience of successful portfolio and delivery management; Excellent communication skills and senior stakeholder engagement skills to identify the value and limitations of data science and AI solutions.
Deputy Director, Central Data Science and AI - Office for National Statistics - SCS1 The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The locations for this role are Newport, Titchfield (Fareham), Manchester & London. All SCS colleagues are required to work from their contractually allocated site for at least 60% of their working time. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is theUK's largest producer of official statistics,covering a range of key economic, social and demographictopics. These includemeasuring changes in the value of the UKeconomy, estimating the size, geographicdistribution, and characteristicsof thepopulation, and providing indicators of priceinflation, employment, earnings, crime, andmigration. Central Data Science and AI (CDS-AI) is part of Strategic Innovation and Analysis Directorate and applies data science, and builds skills, for public good across the UK and internationally. Our role is to apply data science and AI in impactful ways to improve statistics, the operations of the Office for National Statistics, and wider public sector (domestic and international) decision making. Established within the ONS in 2017, we've built up a strong team and a network of third party participants in the mission of the CDS AI and have established a series of impactful projects that improve the quality of our statistical production and provides insight into key policy themes. The CDS AI is an internationally renowned centre of excellence with an international reputation in leading the data science and AI agenda, particularly as it applies to National Statistical Organisations such as the ONS. As well as supporting ONS to apply new techniques to understand the UK's economy and society, the CDS AI acts as a hub for government to gain practical advantage from the wider investment in data science research. Alongside working closely with internal colleagues and external stakeholders on cross cutting areas, the work of the CDS AI is applied to and informs the statistics production and insights that the ONS produces. CDS AI is looking for a new Deputy Director to help lead the next phase of data science capacity building throughout ONS and across government. CDS AI and SIA is a friendly, diverse and collaborative environment, and this leadership role oversees established applied data science and programme teams situated across our four UK hubs. You will be passionate about using state of the art data science methods and a myriad of data sources available for public good. This post will give you the opportunity to improve the quality of ONS's statistical production and inform vital public policy responses to cross cutting and topical issues in the UK and internationally, working across multiple domains. You will be responsible for over 80 CDS AI staff - data scientists, developers, project delivery, and programme managers who deliver data science projects and programmes. Our remit stretches beyond improving official statistics and supports better decision making in the UK and internationally. In this role you will be responsible for a broad programme of multidisciplinary data science projects and programmes, and for managing resources to ensure effective delivery. Our programmes seek to apply of data science and AI within the domestic and international public sector, providing faster and more meaningful analysis, enabling more effective decision making, and delivering significant impact on a national and international scale. Above all else, these projects are undertaken with integrity and trustworthiness, and underpinned by adherence to a rigorous ethical framework. You will also lead the Data Science International team that develops and delivers a range of programmes to support the use of data science and AI in a range of countries and also international organisations such as the United Nations and also the Statistical Insights and Analysis Hub which delivers analysis to support ONS's priorities, and works with the Joint Data Analysis Centre (JDAC) to leverage ONS knowledge and experience to provide deeper insight about the economy and population to support Cabinet Office priorities. Key Responsibilities: Be a proactive member of the Senior Leadership Team that leads the CDS AI and Strategic Innovation and Analysis Directorate; Provide inclusive leadership to a multi-disciplinary data science division, with four Grade 6s reporting into you, leading them in identifying areas in which to do impactful applied data science and AI work, and ensuring delivery of that work, with robust quality assurance and rigorous adherence to ethical standards; Lead your division in developing strong stakeholder engagement and communication skills to enable your division to prioritise resources against the most important and potentially impactful needs; Focusing the work of your team on improving the quality of our statistics production by building modern statistical pipelines, making use of cloud technology as part of delivering on the plan for ONS economic statistics and the ONS Survey Improvement and Enhancement Plan for Economic Statistics both of which were published in 2025. This will also include examining and developing AI based apps to safely integrate into statistical production workflows to improve quality and deliver efficiencies; Leading on ONS's relationship with Cabinet Office in terms of the Joint Data and Analysis Centre (JDAC) where "Joint" is joint between ONS and Cabinet Office, leading the Analytical Hub which works closely with Cabinet Office data scientists and analysts on key Cabinet Office issues; Lead the CDS AI work with the international community, working with colleagues in the ONS's International Relation and International Development Teams and with colleagues in FCDO to develop and deliver a coherent portfolio of international work; Ensure proper project management and budgetary responsibility; Play a visible leadership role in the wider public sector data science community, working closely with the Government Analysis and Government Digital and Data Functions as needed; Be a proactive member of the Senior Civil Service, working closely with colleagues in ONS and across Government. For more information, please refer to candidate pack attached. Person specification Candidates are expected to evidence these criteria within their CV and Personal Statement: Experience of shaping strategy, policy, and operations, working with diverse set of internal and external senior stakeholders from problem-definition to delivery; Abroad knowledge of the data science and AI landscape and the use and application of data science and AI within Government and other sectors; Experience providing inclusive leadership to lead and develop a high-performing multi-disciplinary technically strong division with a track record of creating a culture of innovation and continuous improvement and delivering impactful applied data science and AI work; Experience of cross-organisation working to take innovative prototypes and proofs of concept to full implementation into business systems; Experience of successful portfolio and delivery management; Excellent communication skills and senior stakeholder engagement skills to identify the value and limitations of data science and AI solutions.
Feb 27, 2026
Full time
Deputy Director, Central Data Science and AI - Office for National Statistics - SCS1 The ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations working between office and remote throughout the week. The locations for this role are Newport, Titchfield (Fareham), Manchester & London. All SCS colleagues are required to work from their contractually allocated site for at least 60% of their working time. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is theUK's largest producer of official statistics,covering a range of key economic, social and demographictopics. These includemeasuring changes in the value of the UKeconomy, estimating the size, geographicdistribution, and characteristicsof thepopulation, and providing indicators of priceinflation, employment, earnings, crime, andmigration. Central Data Science and AI (CDS-AI) is part of Strategic Innovation and Analysis Directorate and applies data science, and builds skills, for public good across the UK and internationally. Our role is to apply data science and AI in impactful ways to improve statistics, the operations of the Office for National Statistics, and wider public sector (domestic and international) decision making. Established within the ONS in 2017, we've built up a strong team and a network of third party participants in the mission of the CDS AI and have established a series of impactful projects that improve the quality of our statistical production and provides insight into key policy themes. The CDS AI is an internationally renowned centre of excellence with an international reputation in leading the data science and AI agenda, particularly as it applies to National Statistical Organisations such as the ONS. As well as supporting ONS to apply new techniques to understand the UK's economy and society, the CDS AI acts as a hub for government to gain practical advantage from the wider investment in data science research. Alongside working closely with internal colleagues and external stakeholders on cross cutting areas, the work of the CDS AI is applied to and informs the statistics production and insights that the ONS produces. CDS AI is looking for a new Deputy Director to help lead the next phase of data science capacity building throughout ONS and across government. CDS AI and SIA is a friendly, diverse and collaborative environment, and this leadership role oversees established applied data science and programme teams situated across our four UK hubs. You will be passionate about using state of the art data science methods and a myriad of data sources available for public good. This post will give you the opportunity to improve the quality of ONS's statistical production and inform vital public policy responses to cross cutting and topical issues in the UK and internationally, working across multiple domains. You will be responsible for over 80 CDS AI staff - data scientists, developers, project delivery, and programme managers who deliver data science projects and programmes. Our remit stretches beyond improving official statistics and supports better decision making in the UK and internationally. In this role you will be responsible for a broad programme of multidisciplinary data science projects and programmes, and for managing resources to ensure effective delivery. Our programmes seek to apply of data science and AI within the domestic and international public sector, providing faster and more meaningful analysis, enabling more effective decision making, and delivering significant impact on a national and international scale. Above all else, these projects are undertaken with integrity and trustworthiness, and underpinned by adherence to a rigorous ethical framework. You will also lead the Data Science International team that develops and delivers a range of programmes to support the use of data science and AI in a range of countries and also international organisations such as the United Nations and also the Statistical Insights and Analysis Hub which delivers analysis to support ONS's priorities, and works with the Joint Data Analysis Centre (JDAC) to leverage ONS knowledge and experience to provide deeper insight about the economy and population to support Cabinet Office priorities. Key Responsibilities: Be a proactive member of the Senior Leadership Team that leads the CDS AI and Strategic Innovation and Analysis Directorate; Provide inclusive leadership to a multi-disciplinary data science division, with four Grade 6s reporting into you, leading them in identifying areas in which to do impactful applied data science and AI work, and ensuring delivery of that work, with robust quality assurance and rigorous adherence to ethical standards; Lead your division in developing strong stakeholder engagement and communication skills to enable your division to prioritise resources against the most important and potentially impactful needs; Focusing the work of your team on improving the quality of our statistics production by building modern statistical pipelines, making use of cloud technology as part of delivering on the plan for ONS economic statistics and the ONS Survey Improvement and Enhancement Plan for Economic Statistics both of which were published in 2025. This will also include examining and developing AI based apps to safely integrate into statistical production workflows to improve quality and deliver efficiencies; Leading on ONS's relationship with Cabinet Office in terms of the Joint Data and Analysis Centre (JDAC) where "Joint" is joint between ONS and Cabinet Office, leading the Analytical Hub which works closely with Cabinet Office data scientists and analysts on key Cabinet Office issues; Lead the CDS AI work with the international community, working with colleagues in the ONS's International Relation and International Development Teams and with colleagues in FCDO to develop and deliver a coherent portfolio of international work; Ensure proper project management and budgetary responsibility; Play a visible leadership role in the wider public sector data science community, working closely with the Government Analysis and Government Digital and Data Functions as needed; Be a proactive member of the Senior Civil Service, working closely with colleagues in ONS and across Government. For more information, please refer to candidate pack attached. Person specification Candidates are expected to evidence these criteria within their CV and Personal Statement: Experience of shaping strategy, policy, and operations, working with diverse set of internal and external senior stakeholders from problem-definition to delivery; Abroad knowledge of the data science and AI landscape and the use and application of data science and AI within Government and other sectors; Experience providing inclusive leadership to lead and develop a high-performing multi-disciplinary technically strong division with a track record of creating a culture of innovation and continuous improvement and delivering impactful applied data science and AI work; Experience of cross-organisation working to take innovative prototypes and proofs of concept to full implementation into business systems; Experience of successful portfolio and delivery management; Excellent communication skills and senior stakeholder engagement skills to identify the value and limitations of data science and AI solutions.
