About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Audience Engagement and Research Officer London (with hybrid working - a minimum of one full day per week in the office) The Organisation Our client is focused on supporting education to break down barriers between student success and finance. They support the education sector through research and working within schools to drive initiatives that directly support learners. They are now looking for an Audience Engagement and Research Officer to join them on a full-time basis, working 40 hours per week on a maternity cover contract of up to 12 months. The Benefits - Salary of £33,750 per annum - Flexible working opportunities - 27 days' holiday a year (plus 8 bank holidays, including 3 which can be taken flexibly) - 2 festive season closure days - 6% employer pension contributions, minimum 3% employee contribution - Life insurance cover - Interest-free season ticket loan and cycle scheme - Enhanced maternity, paternity, adoption and shared parental leave pay (conditions apply) - Confidential Employee Assistance Programme to help you deal with any personal and professional problems This is a fantastic opportunity for a motivated and project-focused individual with an administrative or support background to join a mission-led organisation. You'll have the chance to contribute to nationally significant projects that help shape the direction of education across the UK, whilst building your portfolio of experience within a wonderful, supportive environment. What's more, you'll receive a comprehensive range of benefits, support and assistance to ensure you can make a success of your contract and thrive within your role. The Role As an Audience Engagement and Research Officer, you will undertake a range of engagement and research activities to deepen our client's understanding of the views of teachers, school leaders and other educators. Ensuring our client's audience's lived experiences shape their work, you will be involved in polling, surveys, focus groups and interviews to collect meaningful insight into educators' beliefs, knowledge and behaviours. Developing an understanding of the organisation's portfolio of projects, you will undertake project co-ordination tasks, recruit and engage with project participants, handle data, analysis and reporting, and support cross-team planning and collaboration. Additionally, you will: - Support project management and manage project timelines - Assist with sampling and recruitment of participants - Arrange interviews and focus groups - Support data cleaning, tagging and analysis - Contribute to newsletters, surveys and online community communications - Collate insight data for the Impact Framework - Identify engagement opportunities linked to upcoming publications and projects About You To be considered as an Audience Engagement and Research Officer, you will: - Relevant experience providing logistical or administrative support within an organisation or educational setting - Experience supporting projects or complex initiatives - Experience working with datasets to support team or organisational objectives - Some knowledge of market research, polling, user testing or qualitative insight methods - Strong organisational skills with a methodical and detail-oriented approach - Excellent written and verbal communication skills - The ability to build positive relationships with a wide range of stakeholders - Proficiency in MS Office, particularly Excel and Word, and confidence using digital tools in a hybrid environment All staff are subject to a check by the Disclosure and Barring Service (DBS). The level of this check will be "Basic". All applicants must already have the right to work in the UK, as our client is unable to offer sponsorship for this role. Applications close: 04/03/2026 (23:59 GMT or BST) First stage interviews: w/c 16/03/2026 Second stage interviews: w/c 23/03/2026 Other organisations may call this role Engagement Officer, Research Officer, Audience Research Officer, Researcher, Programme Assistant, Programme Administrator, Project Support Assistant, Education Research Officer, Insight Officer, Programme Support Officer, or Stakeholder Engagement Officer. Webrecruit and our clients are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business and we believe that the more inclusive our environments are, the better our work will be. So, if you want to become a Audience Engagement and Research Officer, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency.
Mar 04, 2026
Full time
Audience Engagement and Research Officer London (with hybrid working - a minimum of one full day per week in the office) The Organisation Our client is focused on supporting education to break down barriers between student success and finance. They support the education sector through research and working within schools to drive initiatives that directly support learners. They are now looking for an Audience Engagement and Research Officer to join them on a full-time basis, working 40 hours per week on a maternity cover contract of up to 12 months. The Benefits - Salary of £33,750 per annum - Flexible working opportunities - 27 days' holiday a year (plus 8 bank holidays, including 3 which can be taken flexibly) - 2 festive season closure days - 6% employer pension contributions, minimum 3% employee contribution - Life insurance cover - Interest-free season ticket loan and cycle scheme - Enhanced maternity, paternity, adoption and shared parental leave pay (conditions apply) - Confidential Employee Assistance Programme to help you deal with any personal and professional problems This is a fantastic opportunity for a motivated and project-focused individual with an administrative or support background to join a mission-led organisation. You'll have the chance to contribute to nationally significant projects that help shape the direction of education across the UK, whilst building your portfolio of experience within a wonderful, supportive environment. What's more, you'll receive a comprehensive range of benefits, support and assistance to ensure you can make a success of your contract and thrive within your role. The Role As an Audience Engagement and Research Officer, you will undertake a range of engagement and research activities to deepen our client's understanding of the views of teachers, school leaders and other educators. Ensuring our client's audience's lived experiences shape their work, you will be involved in polling, surveys, focus groups and interviews to collect meaningful insight into educators' beliefs, knowledge and behaviours. Developing an understanding of the organisation's portfolio of projects, you will undertake project co-ordination tasks, recruit and engage with project participants, handle data, analysis and reporting, and support cross-team planning and collaboration. Additionally, you will: - Support project management and manage project timelines - Assist with sampling and recruitment of participants - Arrange interviews and focus groups - Support data cleaning, tagging and analysis - Contribute to newsletters, surveys and online community communications - Collate insight data for the Impact Framework - Identify engagement opportunities linked to upcoming publications and projects About You To be considered as an Audience Engagement and Research Officer, you will: - Relevant experience providing logistical or administrative support within an organisation or educational setting - Experience supporting projects or complex initiatives - Experience working with datasets to support team or organisational objectives - Some knowledge of market research, polling, user testing or qualitative insight methods - Strong organisational skills with a methodical and detail-oriented approach - Excellent written and verbal communication skills - The ability to build positive relationships with a wide range of stakeholders - Proficiency in MS Office, particularly Excel and Word, and confidence using digital tools in a hybrid environment All staff are subject to a check by the Disclosure and Barring Service (DBS). The level of this check will be "Basic". All applicants must already have the right to work in the UK, as our client is unable to offer sponsorship for this role. Applications close: 04/03/2026 (23:59 GMT or BST) First stage interviews: w/c 16/03/2026 Second stage interviews: w/c 23/03/2026 Other organisations may call this role Engagement Officer, Research Officer, Audience Research Officer, Researcher, Programme Assistant, Programme Administrator, Project Support Assistant, Education Research Officer, Insight Officer, Programme Support Officer, or Stakeholder Engagement Officer. Webrecruit and our clients are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business and we believe that the more inclusive our environments are, the better our work will be. So, if you want to become a Audience Engagement and Research Officer, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency.
About the team The Policy team is a small, collaborative and collegiate team looking to expand. We have a unique set-up, sitting separately to but working closely alongside the Communications team as part of the wider Public Affairs team. We influence key decision makers through direct engagement with senior officials, commissioning and sharing research and insight and supporting coalitions which include our portfolio charities to take their voice to decision makers to secure policy and funding commitments. The team also works across the organisation, presenting insight to inform our investment decisions and making a compelling case to generate new financial commitments for our work. About this role The Research and Evidence Officer is a new and exciting role at Impetus, an organisation at the forefront of youth policy. Impetus is evidence led and impact focused and we take this approach to our policy and public affairs activity. The successful candidate will provide the robust data and insights needed to help us build a better understanding of young people's experiences across education and employment, support colleagues by providing accurate data, analysis and insight that informs policy development and communication designed to improve their outcomes, and support the team to create compelling cases for change tailored to a range of audiences. They will be line managed by the Head of Education Policy but work across both employment and education policy domains. We are a busy team doing interesting and exciting work. Day-to-day you might be extracting insights from government published data, providing evidence for a policy briefing, drafting a report for a policy audience, or working with colleagues from across the team to communicate research findings in impactful ways, following agreed templates, processes and quality standards, and seeking clarification where needed. We are looking for someone with a commitment to supporting young people from disadvantaged backgrounds to get the support they need for a fulfilling life, whatever that means to them. You will have good knowledge of quantitative and qualitative research methods, have the skills required to analyse a range of data sets, including confidence applying quantitative research methods to conduct primary and secondary analysis of large and complex datasets, and the ability to present research findings clearly. This is an exciting time to join a rapidly growing organisation. We work on tackling the barriers that hold back young people from disadvantaged backgrounds including reducing the numbers losing learning though absence and exclusion, improving GCSE attainment in English and maths and ensuring youth employment provision reaches those furthest away from work. Your contribution to this work will have a tangible impact on these and other areas. We are keen to see a demonstrated commitment to equity, diversity and inclusion (EDI), and interested to hear how you have led or supported any initiatives or projects relating to this. We welcome application from underrepresented groups, particularly those who were eligible for free school meals as children. If you would like to chat about the role, please find the link on the recruitment pack. Key responsibilities: Monitor monthly data releases and new research published across our areas of interest and record relevant information accurately following agreed templates and systems Use quantitative and qualitative research skills to support and contribute to the delivery of a range of research projects and reviews, conduct data analysis, and generate robust evidence across relevant policy areas and portfolio partner activity Translate complex data accurately into accessible reports, briefings, summaries, papers, presentations, and other content ensuring accuracy, clarity and adherence to organisational templates and approval processes Use research findings to provide accurate evidence and summaries that support colleagues in developing policy positions, evaluating proposals, and proposing evidence-based solutions Prepare accurate briefing materials and background notes to support senior colleagues on relevant policy areas ahead of meetings and events (speaking events, roundtables, and senior-level stakeholder meetings) Collaborate with the Communications team to develop content for external priority audiences to maintain and grow the profile of policy work, by preparing draft summaries, data points and visuals in line with agreed templates and style guides Support the policy team in gathering, organising, summarising and using evidence from portfolio partners Support internal team processes by monitoring an allocated set of information sources, providing content for internal and external newsletters, ensuring information management systems are kept up to date and accurate (e.g. briefing packs, team calendar) Contributing to a collaborative and inclusive team culture Support the Heads of Policy to build and maintain relationships with researchers, academics, and the education sector by writing briefings, maintaining a contact database, and representing Impetus' interests at events Collaborate with peers to meet deadlines and deliver results, ask for clarification when needed, share information promptly, and work cooperatively to meet deadlines. Person specification Essential : A strong commitment to improving outcomes for young people from disadvantaged backgrounds, and an understanding of the barriers they face across education and employment Good knowledge of quantitative and qualitative research methods, and how these can be applied to policy and practice Ability to support the development of research tools including surveys, interview guides, and tailored data collection plans Experience of analysing data and evidence (quantitative and qualitative), including working with large or complex datasets ensuring accuracy and following agreed guidance Experience using statistical or data analysis tools (e.g. Excel, R, Stata, SPSS, or similar) Ability to interpret research findings and translate complex data into clear, accessible outputs to improve clarity for non-technical audiences (e.g. briefings, reports, presentations) Strong written communication skills, with the ability to draft clear, accurate, and well-structured content for policy or public audiences which are in line with agreed templates and processes Ability to gather and summarise evidence that supports colleagues in developing policy positions and decision-making Good organisational skills, with the ability to manage multiple tasks, meet deadlines, and work across different projects simultaneously. Able to follow established processes, manage own tasks, and maintain accurate records A commitment to working with collaboratively with colleagues from diverse backgrounds, and to contribute positively to a team-based working culture A commitment to Impetus' mission A commitment to equality, diversity and inclusion Desirable : Experience working in a policy, university or research environment, think tank, charity, or public sector environment An interest in education and/or employment policy and the use of evidence to drive systemic change and a willingness to build understanding Knowledge of the UK government and policy-making process, including the roles of departments, Parliament, and external stakeholders, and how research and evidence contribute to policy development and decision-making About Impetus At Impetus, our focus is on helping young people achieve positive education and employment outcomes to increase their chance of leading fulfilling and successful lives, irrespective of their background. We tackle the three most difficult challenges that affect a young person's ability to succeed in life in Britain today: Lost learning through absence, suspensions, exclusions from school Stagnation in education attainment outcomes, which means many are missing out on key qualifications like GCSE English and maths The large numbers of young people out of education, training and employment We use our deep expertise and high calibre networks to give the best non-profits working in these sectors the essential ingredients to have a real and lasting impact on the young people they serve. Through a powerful combination of long-term funding, direct capacity building support from our experienced team and our pro bono partners, alongside research and policy influencing to drive lasting systems change, we work towards a society where all young people can thrive in school, pass their exams and unlock the doors to sustained employment, for a fulfilling life. We are resolutely focused on outcomes and impact, driven by quality evidence. You would be joining a team that is passionate, rigorous, determined, creative and warm. We care deeply for our colleagues, our portfolio partners and the young people we serve. Impetus is a registered charity and our charity number is . Our Values In 2022 the Impetus staff agreed the following set of Values to act as our guiding principles as an organisation and help us to remain focused on achieving our mission to support young people from disadvantaged backgrounds. We are brave and curious We are bold and brave in our pursuit of better outcomes for young people . click apply for full job details
Mar 04, 2026
Full time
About the team The Policy team is a small, collaborative and collegiate team looking to expand. We have a unique set-up, sitting separately to but working closely alongside the Communications team as part of the wider Public Affairs team. We influence key decision makers through direct engagement with senior officials, commissioning and sharing research and insight and supporting coalitions which include our portfolio charities to take their voice to decision makers to secure policy and funding commitments. The team also works across the organisation, presenting insight to inform our investment decisions and making a compelling case to generate new financial commitments for our work. About this role The Research and Evidence Officer is a new and exciting role at Impetus, an organisation at the forefront of youth policy. Impetus is evidence led and impact focused and we take this approach to our policy and public affairs activity. The successful candidate will provide the robust data and insights needed to help us build a better understanding of young people's experiences across education and employment, support colleagues by providing accurate data, analysis and insight that informs policy development and communication designed to improve their outcomes, and support the team to create compelling cases for change tailored to a range of audiences. They will be line managed by the Head of Education Policy but work across both employment and education policy domains. We are a busy team doing interesting and exciting work. Day-to-day you might be extracting insights from government published data, providing evidence for a policy briefing, drafting a report for a policy audience, or working with colleagues from across the team to communicate research findings in impactful ways, following agreed templates, processes and quality standards, and seeking clarification where needed. We are looking for someone with a commitment to supporting young people from disadvantaged backgrounds to get the support they need for a fulfilling life, whatever that means to them. You will have good knowledge of quantitative and qualitative research methods, have the skills required to analyse a range of data sets, including confidence applying quantitative research methods to conduct primary and secondary analysis of large and complex datasets, and the ability to present research findings clearly. This is an exciting time to join a rapidly growing organisation. We work on tackling the barriers that hold back young people from disadvantaged backgrounds including reducing the numbers losing learning though absence and exclusion, improving GCSE attainment in English and maths and ensuring youth employment provision reaches those furthest away from work. Your contribution to this work will have a tangible impact on these and other areas. We are keen to see a demonstrated commitment to equity, diversity and inclusion (EDI), and interested to hear how you have led or supported any initiatives or projects relating to this. We welcome application from underrepresented groups, particularly those who were eligible for free school meals as children. If you would like to chat about the role, please find the link on the recruitment pack. Key responsibilities: Monitor monthly data releases and new research published across our areas of interest and record relevant information accurately following agreed templates and systems Use quantitative and qualitative research skills to support and contribute to the delivery of a range of research projects and reviews, conduct data analysis, and generate robust evidence across relevant policy areas and portfolio partner activity Translate complex data accurately into accessible reports, briefings, summaries, papers, presentations, and other content ensuring accuracy, clarity and adherence to organisational templates and approval processes Use research findings to provide accurate evidence and summaries that support colleagues in developing policy positions, evaluating proposals, and proposing evidence-based solutions Prepare accurate briefing materials and background notes to support senior colleagues on relevant policy areas ahead of meetings and events (speaking events, roundtables, and senior-level stakeholder meetings) Collaborate with the Communications team to develop content for external priority audiences to maintain and grow the profile of policy work, by preparing draft summaries, data points and visuals in line with agreed templates and style guides Support the policy team in gathering, organising, summarising and using evidence from portfolio partners Support internal team processes by monitoring an allocated set of information sources, providing content for internal and external newsletters, ensuring information management systems are kept up to date and accurate (e.g. briefing packs, team calendar) Contributing to a collaborative and inclusive team culture Support the Heads of Policy to build and maintain relationships with researchers, academics, and the education sector by writing briefings, maintaining a contact database, and representing Impetus' interests at events Collaborate with peers to meet deadlines and deliver results, ask for clarification when needed, share information promptly, and work cooperatively to meet deadlines. Person specification Essential : A strong commitment to improving outcomes for young people from disadvantaged backgrounds, and an understanding of the barriers they face across education and employment Good knowledge of quantitative and qualitative research methods, and how these can be applied to policy and practice Ability to support the development of research tools including surveys, interview guides, and tailored data collection plans Experience of analysing data and evidence (quantitative and qualitative), including working with large or complex datasets ensuring accuracy and following agreed guidance Experience using statistical or data analysis tools (e.g. Excel, R, Stata, SPSS, or similar) Ability to interpret research findings and translate complex data into clear, accessible outputs to improve clarity for non-technical audiences (e.g. briefings, reports, presentations) Strong written communication skills, with the ability to draft clear, accurate, and well-structured content for policy or public audiences which are in line with agreed templates and processes Ability to gather and summarise evidence that supports colleagues in developing policy positions and decision-making Good organisational skills, with the ability to manage multiple tasks, meet deadlines, and work across different projects simultaneously. Able to follow established processes, manage own tasks, and maintain accurate records A commitment to working with collaboratively with colleagues from diverse backgrounds, and to contribute positively to a team-based working culture A commitment to Impetus' mission A commitment to equality, diversity and inclusion Desirable : Experience working in a policy, university or research environment, think tank, charity, or public sector environment An interest in education and/or employment policy and the use of evidence to drive systemic change and a willingness to build understanding Knowledge of the UK government and policy-making process, including the roles of departments, Parliament, and external stakeholders, and how research and evidence contribute to policy development and decision-making About Impetus At Impetus, our focus is on helping young people achieve positive education and employment outcomes to increase their chance of leading fulfilling and successful lives, irrespective of their background. We tackle the three most difficult challenges that affect a young person's ability to succeed in life in Britain today: Lost learning through absence, suspensions, exclusions from school Stagnation in education attainment outcomes, which means many are missing out on key qualifications like GCSE English and maths The large numbers of young people out of education, training and employment We use our deep expertise and high calibre networks to give the best non-profits working in these sectors the essential ingredients to have a real and lasting impact on the young people they serve. Through a powerful combination of long-term funding, direct capacity building support from our experienced team and our pro bono partners, alongside research and policy influencing to drive lasting systems change, we work towards a society where all young people can thrive in school, pass their exams and unlock the doors to sustained employment, for a fulfilling life. We are resolutely focused on outcomes and impact, driven by quality evidence. You would be joining a team that is passionate, rigorous, determined, creative and warm. We care deeply for our colleagues, our portfolio partners and the young people we serve. Impetus is a registered charity and our charity number is . Our Values In 2022 the Impetus staff agreed the following set of Values to act as our guiding principles as an organisation and help us to remain focused on achieving our mission to support young people from disadvantaged backgrounds. We are brave and curious We are bold and brave in our pursuit of better outcomes for young people . click apply for full job details
Policy Assistant The British Academy Contract: Full-time, Permanent Location: St James Park, London, SW1 Hybrid, worked flexibly under our hybrid-working policy Salary: £28,000 per annum The British Academy - the UK's national body for the humanities and social sciences - is seeking a Policy Assistant to join our Public Policy Team, providing key administrative and research support for the Policy Directorate. This is a varied role that cuts across the Public Policy team's four themes: Sustainable Futures, Digital Society, Social and Cultural Infrastructure, and Governance, Trust and Voice. It includes a range of responsibilities, including assisting with the production and management of policy team events, logistical and administrative support for policy activities, coordinating team diaries, assisting with policy projects and research activities, and helping to implement a new relationship management tool (based on Salesforce). The role will include opportunities to work across a range of British Academy policy projects and this makes it an ideal role for those looking to build up more experience in evidence-based policy work. About the Academy The British Academy is the UK's national body for the humanities and social sciences, established by Royal Charter in 1902. We mobilise these disciplines to understand the world and shape a brighter future. Today's complex challenges can only be resolved by deepening our insight into people, culture, and societies. With a Fellowship of around 1700 leading national and international academics, the Academy invests in researchers and projects across the UK and overseas; engages the public with fresh thinking and debates; and brings together scholars, government, business, and civil society to influence policy. The Academy currently has five directorates: Communications & Marketing; Development; Policy; Research; and Resources, plus a small Governance & Fellowship Team. Working at the Academy Our senior management team have worked with staff to foster a culture of collaboration, respect, and empathy, in which all contributions are recognised as we work towards our common goals. Our people strategy and working practices focus on building strengths and sharing insights, with learning & development, wellbeing, and equality, diversity & inclusion at the centre of how we operate as an organisation. Investing in our staff and encouraging a healthy work/life balance is central to our success, as we move forward and continue to grow. Find out more about the British Academy , including our Equality, Diversity, and Inclusion Statement. Terms and conditions The British Academy is based at 10-11, Carlton House Terrace, St James Park, London, SW1 - a Grade 1 listed building. We offer a competitive benefits package including a 35-hour working week; 34 days' annual leave plus Bank Holidays; a subsidised canteen and an excellent occupational pension. How to apply We use Applied for our recruitment. Applied aims to overcome unconscious bias in recruiting. Instead of using CVs, candidates are asked to answer questions that test skills needed for the role. The responses are then anonymised and reviewed in a random order by members of the hiring panel. We welcome applications from people of all backgrounds, in line with our commitment to create a diverse and inclusive working environment, promote equal opportunity, and address under-representation. We will make reasonable adjustments to support disabled job applicants and offer an interview to those meeting the minimum selection criteria. Please contact the HR team at if you have any questions. To find out more about this opportunity and to apply, please visit our recruitment page via the apply button. Applications must be received no later than Midday on Friday, 6 March 2026.
Mar 04, 2026
Full time
Policy Assistant The British Academy Contract: Full-time, Permanent Location: St James Park, London, SW1 Hybrid, worked flexibly under our hybrid-working policy Salary: £28,000 per annum The British Academy - the UK's national body for the humanities and social sciences - is seeking a Policy Assistant to join our Public Policy Team, providing key administrative and research support for the Policy Directorate. This is a varied role that cuts across the Public Policy team's four themes: Sustainable Futures, Digital Society, Social and Cultural Infrastructure, and Governance, Trust and Voice. It includes a range of responsibilities, including assisting with the production and management of policy team events, logistical and administrative support for policy activities, coordinating team diaries, assisting with policy projects and research activities, and helping to implement a new relationship management tool (based on Salesforce). The role will include opportunities to work across a range of British Academy policy projects and this makes it an ideal role for those looking to build up more experience in evidence-based policy work. About the Academy The British Academy is the UK's national body for the humanities and social sciences, established by Royal Charter in 1902. We mobilise these disciplines to understand the world and shape a brighter future. Today's complex challenges can only be resolved by deepening our insight into people, culture, and societies. With a Fellowship of around 1700 leading national and international academics, the Academy invests in researchers and projects across the UK and overseas; engages the public with fresh thinking and debates; and brings together scholars, government, business, and civil society to influence policy. The Academy currently has five directorates: Communications & Marketing; Development; Policy; Research; and Resources, plus a small Governance & Fellowship Team. Working at the Academy Our senior management team have worked with staff to foster a culture of collaboration, respect, and empathy, in which all contributions are recognised as we work towards our common goals. Our people strategy and working practices focus on building strengths and sharing insights, with learning & development, wellbeing, and equality, diversity & inclusion at the centre of how we operate as an organisation. Investing in our staff and encouraging a healthy work/life balance is central to our success, as we move forward and continue to grow. Find out more about the British Academy , including our Equality, Diversity, and Inclusion Statement. Terms and conditions The British Academy is based at 10-11, Carlton House Terrace, St James Park, London, SW1 - a Grade 1 listed building. We offer a competitive benefits package including a 35-hour working week; 34 days' annual leave plus Bank Holidays; a subsidised canteen and an excellent occupational pension. How to apply We use Applied for our recruitment. Applied aims to overcome unconscious bias in recruiting. Instead of using CVs, candidates are asked to answer questions that test skills needed for the role. The responses are then anonymised and reviewed in a random order by members of the hiring panel. We welcome applications from people of all backgrounds, in line with our commitment to create a diverse and inclusive working environment, promote equal opportunity, and address under-representation. We will make reasonable adjustments to support disabled job applicants and offer an interview to those meeting the minimum selection criteria. Please contact the HR team at if you have any questions. To find out more about this opportunity and to apply, please visit our recruitment page via the apply button. Applications must be received no later than Midday on Friday, 6 March 2026.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role The Principal Research Scientist for AI Safety will be the driving force behind Faculty's small, high agency research team, shaping the future of safe AI systems. You will lead the scientific research agenda for AI safety, focusing on large language models and other critical systems. This role involves leading researchers, driving external publications, and ensuring alignment with Faculty's commercial ambition to build trustworthy AI, giving you the opportunity to make a high impact contribution in a rapidly evolving, critical field. What you'll be doing: Leading the AI safety team's ambitious research agenda, setting priorities aligned with long term company goals. Conducting and overseeing cutting edge AI safety research, specifically for large language models and safety critical AI systems. Publishing high impact research findings in leading academic conferences and journals. Shaping the research agenda by identifying impactful opportunities and balancing scientific and practical priorities. Helping to build and mentor a growing team of researchers, fostering an innovative and collaborative culture. Collaborating on delivery of evaluations and red teaming projects in high risk domains like CBRN and cybersecurity. Positioning Faculty as a thought leader in AI safety through research and strategic stakeholder engagement. Who we're looking for: You have a proven track record of high impact AI research, demonstrated through top tier academic publications or equivalent experience. You possess deep domain knowledge in language models and the evolving field of AI safety. You exhibit strong research judgment and extensive experience in AI safety, including generating and executing novel research directions. You have the ability to conduct and oversee complex technical research projects, with advanced programming skills (Python, standard data science stack) to review team work. You bring excellent verbal and written communication skills, capable of sharing complex ideas with diverse audiences. You have a deep understanding of the AI safety research landscape and the ability to build connections to secure resources for impactful work. Our Interview Process Talent Team Screen (30 mins) Experience & Theory interview (45 mins) Research presentation and coding interview (75 mins) Leadership and Principles interview (60 mins) Final stage with our CEO (45 mins) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
Mar 04, 2026
Full time
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role The Principal Research Scientist for AI Safety will be the driving force behind Faculty's small, high agency research team, shaping the future of safe AI systems. You will lead the scientific research agenda for AI safety, focusing on large language models and other critical systems. This role involves leading researchers, driving external publications, and ensuring alignment with Faculty's commercial ambition to build trustworthy AI, giving you the opportunity to make a high impact contribution in a rapidly evolving, critical field. What you'll be doing: Leading the AI safety team's ambitious research agenda, setting priorities aligned with long term company goals. Conducting and overseeing cutting edge AI safety research, specifically for large language models and safety critical AI systems. Publishing high impact research findings in leading academic conferences and journals. Shaping the research agenda by identifying impactful opportunities and balancing scientific and practical priorities. Helping to build and mentor a growing team of researchers, fostering an innovative and collaborative culture. Collaborating on delivery of evaluations and red teaming projects in high risk domains like CBRN and cybersecurity. Positioning Faculty as a thought leader in AI safety through research and strategic stakeholder engagement. Who we're looking for: You have a proven track record of high impact AI research, demonstrated through top tier academic publications or equivalent experience. You possess deep domain knowledge in language models and the evolving field of AI safety. You exhibit strong research judgment and extensive experience in AI safety, including generating and executing novel research directions. You have the ability to conduct and oversee complex technical research projects, with advanced programming skills (Python, standard data science stack) to review team work. You bring excellent verbal and written communication skills, capable of sharing complex ideas with diverse audiences. You have a deep understanding of the AI safety research landscape and the ability to build connections to secure resources for impactful work. Our Interview Process Talent Team Screen (30 mins) Experience & Theory interview (45 mins) Research presentation and coding interview (75 mins) Leadership and Principles interview (60 mins) Final stage with our CEO (45 mins) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming) • Metaheuristics • Stochastic Optimisation • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Cambridge University Press & Assessment
Cambridge, Cambridgeshire
This is a rare opportunity to shape how people capabilities evolve in an AI-enabled, global, purpose-driven organisation. As part of our Strategy 2030, we are strengthening how we adopt and use AI. In this role, you will design and embed practical learning aligned to our AI strategy, from foundational AI literacy to building leadership confidence and organisational readiness. This role focuses on establishing strong foundations for sustainable AI capability development across the organisation. Success will include: Setting clear standards and capability frameworks Designing impactful learning experiences Delivering early wins in priority areas Enabling long-term ownership across the business We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role In this role you will: Define what AI capability means across different roles and personas Design practical, high-impact learning pathways, from foundational literacy to leadership confidence Translate AI strategy into actionable development frameworks Consolidate fragmented AI initiatives into a coherent, enterprise-wide learning ecosystem Equip leaders to rethink roles, workflows and team capability in an AI-enabled future Partner with Change and Internal Communications to build organisational confidence and readiness You will work closely with our AI Project Team, including the Data & AI Academy, operating at the intersection of strategy, capability and transformation. 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 We are seeking an experienced Learning & Development or Organisational Development leader who can operate strategically and deliver pragmatically. Extensive experience in organisational development, learning and development, or a closely related field, with a proven track record of operating at enterprise level Expert knowledge of learning and organisational development methodologies, with demonstrated ability to design and embed frameworks, programmes and pathways that build organisational capability at scale A strong track record of influencing senior stakeholders in complex, matrixed organisations The ability to translate emerging technologies (including AI) into clear, practical learning and capability interventions Strong programme leadership skills across multiple, interdependent workstreams Comfortable operating in fast evolving, ambiguous environments, balancing strategic intent with pragmatic delivery. You do not need to be a technical AI expert but you must be genuinely curious about AI and confident shaping how it impacts people, roles and organisations. 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: Desirable criteria A track record of supporting AI, digital or workforce transformation initiatives Proven application of capability frameworks, maturity models or skills taxonomies Confidence operating within large, complex or matrixed organisations For a detailed job description, please refer to the link at the bottom of the advert on our careers site. The closing date for applications is Wednesday 11 March. Applications will be reviewed on an ongoing basis, and shortlisted candidates can expect interviews to take place during and after this period. We therefore encourage you to apply as early as possible. 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. Please note that Cambridge University Press & Assessment will not ordinarily be able to provide sponsorship for vacancies of less than 12-months in duration. Applicants must therefore have an existing right to work in the UK to be eligible for this position. 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. The closing date for applications is Wednesday 11 March. Applications will be reviewed on an ongoing basis, and shortlisted candidates can expect interviews to take place during and after this period. We therefore encourage you to apply as early as possible. We aim to support candidates by making our interview process clear and transparent. If you are shortlisted and progressed through the stages, you can expect: A 15-minute screening call First stage virtual interview via MS Teams. You will be provided with a brief to complete a role related task which will need to be returned by email in advance of your interview. Final stage interview: in-person at our offices in Cambridge. 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 Cambridge is your opportunity to pursue potential. You will work with collaborative teams exploring better ways to serve learners, teachers and researchers globally contributing to meaningful impact across society. We are committed to being a place where everyone can build a successful career, speak up safely, and continuously learn together.
Mar 04, 2026
Full time
This is a rare opportunity to shape how people capabilities evolve in an AI-enabled, global, purpose-driven organisation. As part of our Strategy 2030, we are strengthening how we adopt and use AI. In this role, you will design and embed practical learning aligned to our AI strategy, from foundational AI literacy to building leadership confidence and organisational readiness. This role focuses on establishing strong foundations for sustainable AI capability development across the organisation. Success will include: Setting clear standards and capability frameworks Designing impactful learning experiences Delivering early wins in priority areas Enabling long-term ownership across the business We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role In this role you will: Define what AI capability means across different roles and personas Design practical, high-impact learning pathways, from foundational literacy to leadership confidence Translate AI strategy into actionable development frameworks Consolidate fragmented AI initiatives into a coherent, enterprise-wide learning ecosystem Equip leaders to rethink roles, workflows and team capability in an AI-enabled future Partner with Change and Internal Communications to build organisational confidence and readiness You will work closely with our AI Project Team, including the Data & AI Academy, operating at the intersection of strategy, capability and transformation. 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 We are seeking an experienced Learning & Development or Organisational Development leader who can operate strategically and deliver pragmatically. Extensive experience in organisational development, learning and development, or a closely related field, with a proven track record of operating at enterprise level Expert knowledge of learning and organisational development methodologies, with demonstrated ability to design and embed frameworks, programmes and pathways that build organisational capability at scale A strong track record of influencing senior stakeholders in complex, matrixed organisations The ability to translate emerging technologies (including AI) into clear, practical learning and capability interventions Strong programme leadership skills across multiple, interdependent workstreams Comfortable operating in fast evolving, ambiguous environments, balancing strategic intent with pragmatic delivery. You do not need to be a technical AI expert but you must be genuinely curious about AI and confident shaping how it impacts people, roles and organisations. 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: Desirable criteria A track record of supporting AI, digital or workforce transformation initiatives Proven application of capability frameworks, maturity models or skills taxonomies Confidence operating within large, complex or matrixed organisations For a detailed job description, please refer to the link at the bottom of the advert on our careers site. The closing date for applications is Wednesday 11 March. Applications will be reviewed on an ongoing basis, and shortlisted candidates can expect interviews to take place during and after this period. We therefore encourage you to apply as early as possible. 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. Please note that Cambridge University Press & Assessment will not ordinarily be able to provide sponsorship for vacancies of less than 12-months in duration. Applicants must therefore have an existing right to work in the UK to be eligible for this position. 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. The closing date for applications is Wednesday 11 March. Applications will be reviewed on an ongoing basis, and shortlisted candidates can expect interviews to take place during and after this period. We therefore encourage you to apply as early as possible. We aim to support candidates by making our interview process clear and transparent. If you are shortlisted and progressed through the stages, you can expect: A 15-minute screening call First stage virtual interview via MS Teams. You will be provided with a brief to complete a role related task which will need to be returned by email in advance of your interview. Final stage interview: in-person at our offices in Cambridge. 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 Cambridge is your opportunity to pursue potential. You will work with collaborative teams exploring better ways to serve learners, teachers and researchers globally contributing to meaningful impact across society. We are committed to being a place where everyone can build a successful career, speak up safely, and continuously learn together.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Join Cohere as a Senior HR Business Partner: a people leader, a people operations strategist, and a trusted advisor who will drive impact across our business. In this role, you'll bridge our explosive growth with our commitment to an exceptional employee experience. You will roll up your sleeves while keeping your eyes on the horizon, helping us build scalable excellence. In this senior level individual contributor role you will design people operations to scale while collaborating closely with leaders across the organization. We're not seeking someone who merely follows HR best practices-we need someone who can help us define them. This role offers a unique blend of strategic influence and hands-on impact. In this role, you will Forge influential relationships with leaders at every level, from new managers finding their footing to VP's shaping our future. Serve as the go-to advisor for organizational design, talent strategy, and people/career development for your client groups. Own critical HR projects: hiring, organizational design, compensation, and performance management. Empower leadership at all levels to strengthen their leadership skills through direct feedback and actionable guidance. Navigate ambiguity and complex people challenges while building and implementing innovative solutions that work for 500 people today and 1,500 tomorrow. Support the SVP People with executive-level initiatives. Leverage your knowledge of international employment laws to support global operations. This career opportunity may be a good match for you if you have: 7-10 years of experience as a hands-on senior level HR Business Partner in fast-growing technology companies. Experience making a large impact, cultivating leadership and people potential across an organization. Deep understanding of scale-up culture and experience partnering with both Engineering and non-Engineering leadership/colleagues. Track record of building strong strategic relationships, enduring processes and thriving in environments where priorities pivot. Experience scaling up a technology company globally, diving into day-to-day details and planning for the future, big picture. Experience resolving complex people issues with fairness and empathy. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)
Mar 04, 2026
Full time
Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Join Cohere as a Senior HR Business Partner: a people leader, a people operations strategist, and a trusted advisor who will drive impact across our business. In this role, you'll bridge our explosive growth with our commitment to an exceptional employee experience. You will roll up your sleeves while keeping your eyes on the horizon, helping us build scalable excellence. In this senior level individual contributor role you will design people operations to scale while collaborating closely with leaders across the organization. We're not seeking someone who merely follows HR best practices-we need someone who can help us define them. This role offers a unique blend of strategic influence and hands-on impact. In this role, you will Forge influential relationships with leaders at every level, from new managers finding their footing to VP's shaping our future. Serve as the go-to advisor for organizational design, talent strategy, and people/career development for your client groups. Own critical HR projects: hiring, organizational design, compensation, and performance management. Empower leadership at all levels to strengthen their leadership skills through direct feedback and actionable guidance. Navigate ambiguity and complex people challenges while building and implementing innovative solutions that work for 500 people today and 1,500 tomorrow. Support the SVP People with executive-level initiatives. Leverage your knowledge of international employment laws to support global operations. This career opportunity may be a good match for you if you have: 7-10 years of experience as a hands-on senior level HR Business Partner in fast-growing technology companies. Experience making a large impact, cultivating leadership and people potential across an organization. Deep understanding of scale-up culture and experience partnering with both Engineering and non-Engineering leadership/colleagues. Track record of building strong strategic relationships, enduring processes and thriving in environments where priorities pivot. Experience scaling up a technology company globally, diving into day-to-day details and planning for the future, big picture. Experience resolving complex people issues with fairness and empathy. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Cambridge University Press & Assessment
Cambridge, Cambridgeshire
Job Title: Technical Lead / Delivery Manager Salary: £50,900 - £68,000 Location: Cambridge/Hybrid ( 3 days per week in office) Contract: Permanent Hours: Full Time Play a pivotal role in shaping the Data landscape of our organisation. The Delivery Manager must a strong have a technical background as this role is a hands-on position that involves collaborating with cross-functional teams to deliver enterprise-level solutions. You'll be responsible for planning, designing, building, securing, and monitoring innovative solutions We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role The job holder is required to define and drive quality, consistency, and excellence in all aspects of Data Engineering within the Enterprise Data Teams with change control process and collaborative work. Mentor a team of developers/engineers, fostering a collaborative and high-performance work environment. Provide technical expertise in the design, development, and implementation of complex software solutions. Takes responsibility for ensuring that the deliverables of the EDP Squads are managed in accordance with Cambridge Technologies standards, process, and documentation. Collaborate with cross-functional teams to understand project requirements and contribute to the overall technical strategy. Manage issues, risks, and dependencies, and ensure these are communicated and acknowledged effectively. Ensure the use of best practices, coding standards, and proper documentation in all technical deliverables. To translate business problems and opportunities into data engineering solutions Continually develops data engineering knowledge and skills so that they remain current in a fast-changing field. Identifies and manages risks and issues proactively with and on behalf of the team. 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 If you're a tech-savvy leader who thrives on solving complex challenges, this role is for you. Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience. Proven experience in dev ops, software development, data engineering, or a similar role. Demonstrate data management and coding skills. Experience building complex data solutions, data integration processes and tools, data quality / testing data solutions and bug fixing. Excellent experience in AWS services, Big Data solutions and at least one of the following (Data integration, Serverless, Storage and database management, SAS application management). Excellent problem-solving skills and the ability to lead technical discussions. Familiarity with agile methodologies and working in cross-functional squads. 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. C ambridge 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 15th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place during the campaign and or from 18th March. If you are shortlisted and progressed through the stages, you can expect: A 30-minute screening call with the Hiring Manager. First stage virtual interview via MS Teams. You will be provided with a brief to complete a presentation and technical questions in 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 04, 2026
Full time
Job Title: Technical Lead / Delivery Manager Salary: £50,900 - £68,000 Location: Cambridge/Hybrid ( 3 days per week in office) Contract: Permanent Hours: Full Time Play a pivotal role in shaping the Data landscape of our organisation. The Delivery Manager must a strong have a technical background as this role is a hands-on position that involves collaborating with cross-functional teams to deliver enterprise-level solutions. You'll be responsible for planning, designing, building, securing, and monitoring innovative solutions We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role The job holder is required to define and drive quality, consistency, and excellence in all aspects of Data Engineering within the Enterprise Data Teams with change control process and collaborative work. Mentor a team of developers/engineers, fostering a collaborative and high-performance work environment. Provide technical expertise in the design, development, and implementation of complex software solutions. Takes responsibility for ensuring that the deliverables of the EDP Squads are managed in accordance with Cambridge Technologies standards, process, and documentation. Collaborate with cross-functional teams to understand project requirements and contribute to the overall technical strategy. Manage issues, risks, and dependencies, and ensure these are communicated and acknowledged effectively. Ensure the use of best practices, coding standards, and proper documentation in all technical deliverables. To translate business problems and opportunities into data engineering solutions Continually develops data engineering knowledge and skills so that they remain current in a fast-changing field. Identifies and manages risks and issues proactively with and on behalf of the team. 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 If you're a tech-savvy leader who thrives on solving complex challenges, this role is for you. Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience. Proven experience in dev ops, software development, data engineering, or a similar role. Demonstrate data management and coding skills. Experience building complex data solutions, data integration processes and tools, data quality / testing data solutions and bug fixing. Excellent experience in AWS services, Big Data solutions and at least one of the following (Data integration, Serverless, Storage and database management, SAS application management). Excellent problem-solving skills and the ability to lead technical discussions. Familiarity with agile methodologies and working in cross-functional squads. 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. C ambridge 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 15th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place during the campaign and or from 18th March. If you are shortlisted and progressed through the stages, you can expect: A 30-minute screening call with the Hiring Manager. First stage virtual interview via MS Teams. You will be provided with a brief to complete a presentation and technical questions in 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.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 04, 2026
Full time
About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning • Computer Vision • Reinforcement Learning • Graph Neural Networks • Time series forecasting • Probabilistic forecasting • Bayesian Modelling • Operations Research • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Director of Philanthropy, Europe Salary: Circa £95,000 plus benefits Location: UK (preferred) or Europe Closing Date: 29 March 2026 The Safe Childhoods Initiative is a philanthropically funded start up dedicated to ending childhood sexual violence. We believe the only acceptable level of harm is zero - and that philanthropy can, and must, do far more to prevent and respond to it. This is a pivotal moment: awareness, evidence, and political attention are rising, but philanthropic investment has not kept pace. Our mission is to close that gap by moving significant, sustained funding into the wider ecosystem with coherence, confidence, and long term intent. We are a small, ambitious, and entrepreneurial team working closely with thoughtful philanthropists, practitioners, and researchers. The work is evolving and requires judgement, curiosity, and comfort with ambiguity - and offers the chance to help shape how a historically neglected field is funded. As Director of Philanthropy, Europe, you will lead our European fundraising strategy and work closely with the Executive Director and the Director of Philanthropy (US). You will represent the organisation in senior donor conversations and small convenings, building and stewarding relationships with high net worth individuals, foundations, and family offices across the UK and Europe. You will secure significant philanthropic commitments for work to prevent and respond to childhood sexual violence. You will bring a proven track record of securing £1m-£5m+ gifts from foundations and ultra-high net worth individuals, along with an active network across UK and European philanthropy. You will be an exceptional communicator, credible with senior donors, and confident working on complex and sensitive issues. Candidates with a blend of philanthropic advisory and fundraising backgrounds or experience raising funds from Asia or Africa based foundations will also be considered. You'll thrive here if you are a self starter who enjoys working in a small, entrepreneurial environment within a high impact donor collaborative. You will be motivated by long term impact and committed to ending childhood sexual violence. Our preference is for candidates based in or near London, though strong candidates elsewhere in Europe will also be considered. The Safe Childhoods Initiative was created in 2025 by a group of leading philanthropies, including the Carlson Family Foundation, the Indigo Trust, Oak Foundation, Phillips Foundation, Segal Philanthropies, and the World Childhood Foundation, to change the way the world responds to childhood sexual violence. Timetable Closing date: 29 March 2026 People Beyond Profit interviews: 13 - 17 April 2026 The Safe Childhoods Initiative interviews: 29 April 2026 Final Panel interviews: 12 May 2026 How to Apply To find out more and to apply, please download the appointment brief below. We welcome applications from individuals of all backgrounds and are dedicated to ensuring equality of opportunity throughout our recruitment processes. We encourage candidates of all ages, ethnicities, nationalities, religions or beliefs, genders, gender identities, sexual orientations, and disability statuses to apply.
Mar 03, 2026
Full time
Director of Philanthropy, Europe Salary: Circa £95,000 plus benefits Location: UK (preferred) or Europe Closing Date: 29 March 2026 The Safe Childhoods Initiative is a philanthropically funded start up dedicated to ending childhood sexual violence. We believe the only acceptable level of harm is zero - and that philanthropy can, and must, do far more to prevent and respond to it. This is a pivotal moment: awareness, evidence, and political attention are rising, but philanthropic investment has not kept pace. Our mission is to close that gap by moving significant, sustained funding into the wider ecosystem with coherence, confidence, and long term intent. We are a small, ambitious, and entrepreneurial team working closely with thoughtful philanthropists, practitioners, and researchers. The work is evolving and requires judgement, curiosity, and comfort with ambiguity - and offers the chance to help shape how a historically neglected field is funded. As Director of Philanthropy, Europe, you will lead our European fundraising strategy and work closely with the Executive Director and the Director of Philanthropy (US). You will represent the organisation in senior donor conversations and small convenings, building and stewarding relationships with high net worth individuals, foundations, and family offices across the UK and Europe. You will secure significant philanthropic commitments for work to prevent and respond to childhood sexual violence. You will bring a proven track record of securing £1m-£5m+ gifts from foundations and ultra-high net worth individuals, along with an active network across UK and European philanthropy. You will be an exceptional communicator, credible with senior donors, and confident working on complex and sensitive issues. Candidates with a blend of philanthropic advisory and fundraising backgrounds or experience raising funds from Asia or Africa based foundations will also be considered. You'll thrive here if you are a self starter who enjoys working in a small, entrepreneurial environment within a high impact donor collaborative. You will be motivated by long term impact and committed to ending childhood sexual violence. Our preference is for candidates based in or near London, though strong candidates elsewhere in Europe will also be considered. The Safe Childhoods Initiative was created in 2025 by a group of leading philanthropies, including the Carlson Family Foundation, the Indigo Trust, Oak Foundation, Phillips Foundation, Segal Philanthropies, and the World Childhood Foundation, to change the way the world responds to childhood sexual violence. Timetable Closing date: 29 March 2026 People Beyond Profit interviews: 13 - 17 April 2026 The Safe Childhoods Initiative interviews: 29 April 2026 Final Panel interviews: 12 May 2026 How to Apply To find out more and to apply, please download the appointment brief below. We welcome applications from individuals of all backgrounds and are dedicated to ensuring equality of opportunity throughout our recruitment processes. We encourage candidates of all ages, ethnicities, nationalities, religions or beliefs, genders, gender identities, sexual orientations, and disability statuses to apply.
ECRN Regional Manager The British Academy Contract: Full-time, Permanent Location: St James Park, London, SW1 Hybrid, worked flexibly under our hybrid-working policy Salary: £40,926 per annum The British Academy - the UK's national body for the humanities and social sciences - is seeking a Regional Manager to join our friendly and collaborative team in the Research Directorate, providing key support in the delivery of the Early Career Researcher Network. The ECRN Regional Manager will work closely with the Head of ECRN to oversee the day-to-day operations and logistics of the Network. This includes line management of three Regional Coordinators, as well as supporting budget oversight and financial management across all regional activities. You will contribute to the development and implementation of efficient working systems, policies, and processes, and collaborate with the Head of ECRN to identify and resolve operational challenges as they arise. A core responsibility of the role is to lead on the delivery and coordination of ECRN activities. This includes line managing three Regional Coordinators; overseeing and supporting regional clusters; processing invoices and monitoring budgets; preparing reports and updates for internal and external audiences; identifying growth opportunities for the Network; liaising with a range of internal and external stakeholders. The ideal candidate for this role will bring strong project management skills, financial and budget oversight experience, and a background in line management within an office or organisational setting. Strategic thinking, proactivity, and resilience are essential, alongside the ability to prioritise effectively and solve problems in dynamic environments. You will be an excellent communicator, capable of building collaborative relationships with colleagues across the British Academy and beyond, including external facilitators, partners, and stakeholders. Your keen attention to detail, inclusive mindset, and commitment to team-oriented working will be central to maintaining the quality, coherence, and impact of programme delivery. You'll bring clarity, empathy, and professionalism to every interaction, helping shape a collaborative and high-performing environment. Please note that the position will involve travel between ECRN regional clusters to support in-person delivery of training and workshops, alongside regular online engagement. Further information about the ECRN can be found here: About the Academy The British Academy is the UK's national body for the humanities and social sciences, established by Royal Charter in 1902. We mobilise these disciplines to understand the world and shape a brighter future. Today's complex challenges can only be resolved by deepening our insight into people, culture, and societies. With a Fellowship of around 1700 leading national and international academics, the Academy invests in researchers and projects across the UK and overseas; engages the public with fresh thinking and debates; and brings together scholars, government, business, and civil society to influence policy. The Academy currently has five directorates: Communications & Marketing; Development; Policy; Research; and Resources, plus a small Governance & Fellowship Team. Working at the Academy Our senior management team have worked with staff to foster a culture of collaboration, respect, and empathy, in which all contributions are recognised as we work towards our common goals. Our people strategy and working practices focus on building strengths and sharing insights, with learning & development, wellbeing, and equality, diversity & inclusion at the centre of how we operate as an organisation. Investing in our staff and encouraging a healthy work/life balance is central to our success, as we move forward and continue to grow. Find out more about the British Academy , including our Equality, Diversity, and Inclusion Statement. Terms and conditions The British Academy is based at 10-11, Carlton House Terrace, St James Park, London, SW1 - a Grade 1 listed building. We offer a competitive benefits package including a 35-hour working week; 34 days' annual leave plus Bank Holidays; a subsidised canteen and an excellent occupational pension. How to apply We use Applied for our recruitment. Applied aims to overcome unconscious bias in recruiting. Instead of using CVs, candidates are asked to answer questions that test skills needed for the role. The responses are then anonymised and reviewed in a random order by members of the hiring panel. We welcome applications from people of all backgrounds, in line with our commitment to create a diverse and inclusive working environment, promote equal opportunity, and address under-representation. We will make reasonable adjustments to support disabled job applicants and offer an interview to those meeting the minimum selection criteria. Please contact the HR team at if you have any questions. To find out more about this opportunity and to apply, please visit our recruitment page via the apply button. Applications must be received no later than Midday on Wednesday, 18 March 2026.
Mar 03, 2026
Full time
ECRN Regional Manager The British Academy Contract: Full-time, Permanent Location: St James Park, London, SW1 Hybrid, worked flexibly under our hybrid-working policy Salary: £40,926 per annum The British Academy - the UK's national body for the humanities and social sciences - is seeking a Regional Manager to join our friendly and collaborative team in the Research Directorate, providing key support in the delivery of the Early Career Researcher Network. The ECRN Regional Manager will work closely with the Head of ECRN to oversee the day-to-day operations and logistics of the Network. This includes line management of three Regional Coordinators, as well as supporting budget oversight and financial management across all regional activities. You will contribute to the development and implementation of efficient working systems, policies, and processes, and collaborate with the Head of ECRN to identify and resolve operational challenges as they arise. A core responsibility of the role is to lead on the delivery and coordination of ECRN activities. This includes line managing three Regional Coordinators; overseeing and supporting regional clusters; processing invoices and monitoring budgets; preparing reports and updates for internal and external audiences; identifying growth opportunities for the Network; liaising with a range of internal and external stakeholders. The ideal candidate for this role will bring strong project management skills, financial and budget oversight experience, and a background in line management within an office or organisational setting. Strategic thinking, proactivity, and resilience are essential, alongside the ability to prioritise effectively and solve problems in dynamic environments. You will be an excellent communicator, capable of building collaborative relationships with colleagues across the British Academy and beyond, including external facilitators, partners, and stakeholders. Your keen attention to detail, inclusive mindset, and commitment to team-oriented working will be central to maintaining the quality, coherence, and impact of programme delivery. You'll bring clarity, empathy, and professionalism to every interaction, helping shape a collaborative and high-performing environment. Please note that the position will involve travel between ECRN regional clusters to support in-person delivery of training and workshops, alongside regular online engagement. Further information about the ECRN can be found here: About the Academy The British Academy is the UK's national body for the humanities and social sciences, established by Royal Charter in 1902. We mobilise these disciplines to understand the world and shape a brighter future. Today's complex challenges can only be resolved by deepening our insight into people, culture, and societies. With a Fellowship of around 1700 leading national and international academics, the Academy invests in researchers and projects across the UK and overseas; engages the public with fresh thinking and debates; and brings together scholars, government, business, and civil society to influence policy. The Academy currently has five directorates: Communications & Marketing; Development; Policy; Research; and Resources, plus a small Governance & Fellowship Team. Working at the Academy Our senior management team have worked with staff to foster a culture of collaboration, respect, and empathy, in which all contributions are recognised as we work towards our common goals. Our people strategy and working practices focus on building strengths and sharing insights, with learning & development, wellbeing, and equality, diversity & inclusion at the centre of how we operate as an organisation. Investing in our staff and encouraging a healthy work/life balance is central to our success, as we move forward and continue to grow. Find out more about the British Academy , including our Equality, Diversity, and Inclusion Statement. Terms and conditions The British Academy is based at 10-11, Carlton House Terrace, St James Park, London, SW1 - a Grade 1 listed building. We offer a competitive benefits package including a 35-hour working week; 34 days' annual leave plus Bank Holidays; a subsidised canteen and an excellent occupational pension. How to apply We use Applied for our recruitment. Applied aims to overcome unconscious bias in recruiting. Instead of using CVs, candidates are asked to answer questions that test skills needed for the role. The responses are then anonymised and reviewed in a random order by members of the hiring panel. We welcome applications from people of all backgrounds, in line with our commitment to create a diverse and inclusive working environment, promote equal opportunity, and address under-representation. We will make reasonable adjustments to support disabled job applicants and offer an interview to those meeting the minimum selection criteria. Please contact the HR team at if you have any questions. To find out more about this opportunity and to apply, please visit our recruitment page via the apply button. Applications must be received no later than Midday on Wednesday, 18 March 2026.
