Join Our Global Client as an Executive Assistant - ASAP Start! We are a leading and growing consulting firm, with a talented team of environmental and business consultants, engineers, and scientists dedicated to driving organisational success. Position: Executive Assistant to CEO & Head of Legal Counsel Contract Type: Full time, 12 month fixed-term contract (maternity leave cover) Salary: £55,000 - £65,000 per annum Location: Holborn, London Working Pattern: Full-time, hybrid/ flexible working About the Role Are you an experienced and highly organised professional looking for an exciting opportunity to support senior leadership? This Executive Assistant role is pivotal in ensuring the smooth running of the organisation, supporting the CEO and Head of Legal Counsel, and enhancing overall efficiency. Key Responsibilities Efficiently coordinate complex executive calendars, scheduling meetings, appointments, and travel Anticipate and proactively resolve scheduling conflicts Act as a key point of contact for internal and external stakeholders, demonstrating professionalism at all times Draft, edit, and proofread communications, emails, reports, and presentations Organise executive meetings and prepare materials in advance Record minutes and track follow-up actions Manage global travel logistics, including itineraries and expense reporting Handle sensitive information with the utmost discretion Support the coordination of special projects and events Build and maintain strong stakeholder relationships on behalf of senior leadership Effectively manage competing priorities in a fast-paced environment About You We are seeking someone with a proven track record of supporting C-level executives. You will have: Experience: Proven experience as an Executive Assistant at senior level Skills: Exceptional organisational skills, attention to detail, and strong written and verbal communication Proficiency: Strong knowledge of Microsoft Office and relevant tools Autonomy: Ability to work independently and manage multiple priorities Discretion: Experience handling confidential and sensitive information Why Join Us? This is your opportunity to play a key role in a dynamic and collaborative environment: Competitive salary package Hybrid working with a central London location Work alongside a highly skilled and supportive team If you're ready to take on this exciting opportunity and make a real impact, we'd love to hear from you. Apply now and be part of our continued success! Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Apr 27, 2026
Contractor
Join Our Global Client as an Executive Assistant - ASAP Start! We are a leading and growing consulting firm, with a talented team of environmental and business consultants, engineers, and scientists dedicated to driving organisational success. Position: Executive Assistant to CEO & Head of Legal Counsel Contract Type: Full time, 12 month fixed-term contract (maternity leave cover) Salary: £55,000 - £65,000 per annum Location: Holborn, London Working Pattern: Full-time, hybrid/ flexible working About the Role Are you an experienced and highly organised professional looking for an exciting opportunity to support senior leadership? This Executive Assistant role is pivotal in ensuring the smooth running of the organisation, supporting the CEO and Head of Legal Counsel, and enhancing overall efficiency. Key Responsibilities Efficiently coordinate complex executive calendars, scheduling meetings, appointments, and travel Anticipate and proactively resolve scheduling conflicts Act as a key point of contact for internal and external stakeholders, demonstrating professionalism at all times Draft, edit, and proofread communications, emails, reports, and presentations Organise executive meetings and prepare materials in advance Record minutes and track follow-up actions Manage global travel logistics, including itineraries and expense reporting Handle sensitive information with the utmost discretion Support the coordination of special projects and events Build and maintain strong stakeholder relationships on behalf of senior leadership Effectively manage competing priorities in a fast-paced environment About You We are seeking someone with a proven track record of supporting C-level executives. You will have: Experience: Proven experience as an Executive Assistant at senior level Skills: Exceptional organisational skills, attention to detail, and strong written and verbal communication Proficiency: Strong knowledge of Microsoft Office and relevant tools Autonomy: Ability to work independently and manage multiple priorities Discretion: Experience handling confidential and sensitive information Why Join Us? This is your opportunity to play a key role in a dynamic and collaborative environment: Competitive salary package Hybrid working with a central London location Work alongside a highly skilled and supportive team If you're ready to take on this exciting opportunity and make a real impact, we'd love to hear from you. Apply now and be part of our continued success! Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
Apr 27, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Apr 27, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Data Scientist (Machine Learning) - Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most of the team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of click apply for full job details
Apr 27, 2026
Full time
Data Scientist (Machine Learning) - Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most of the team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of click apply for full job details
About the Team The Velankar team maintains macromolecular structure databases that form essential resources for biologists and other life scientists worldwide. PDBe is a founding partner of the Worldwide Protein Data Bank organisation, which maintains the global archive of 3D structural data on macromolecules the Protein Data Bank (PDB) click apply for full job details
Apr 27, 2026
Full time
About the Team The Velankar team maintains macromolecular structure databases that form essential resources for biologists and other life scientists worldwide. PDBe is a founding partner of the Worldwide Protein Data Bank organisation, which maintains the global archive of 3D structural data on macromolecules the Protein Data Bank (PDB) click apply for full job details
Hays Specialist Recruitment Limited
West Drayton, Middlesex
Role Purpose The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Contract - 6 months (high possibility to extend further) Location - waterside (UB7 0GB) Hybrid - 2-3 days onsite Pay - Premium-level role; competitive rates (inside IR35) Key Responsibilities Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance. Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases. Challenge data provenance and assumptions in legacy datasets, reframing against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics. Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes. Design, build, and optimise data pipelines for ingestion, transformation, and storage. Ensure data quality, integrity, and security controls are applied across systems. Apply cloud and data-engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over-engineering Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Core Data Analytical Capabilities Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases Comfortable working independently and communicating with non-technical stakeholders Supporting Data Engineering Capabilities Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) (Preferred) Hands-on experience with cloud platforms, ideally AWS Consulting-Level Competencies Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. Ability to design enterprise-grade data solutions under tight timelines. Strong stakeholder engagement and solution-oriented mindset. Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one. Ability to implement standards and frameworks for scalable data solutions across multiple operating companies. Familiarity with airline or logistics data domains is a plus. Location & Travel Initial co-location with client teams in London is essential to ensure close collaboration. Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment. Compensation Premium-level role; competitive rates aligned with UK consultancy benchmarks. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Apr 27, 2026
Contractor
Role Purpose The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Contract - 6 months (high possibility to extend further) Location - waterside (UB7 0GB) Hybrid - 2-3 days onsite Pay - Premium-level role; competitive rates (inside IR35) Key Responsibilities Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance. Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases. Challenge data provenance and assumptions in legacy datasets, reframing against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics. Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes. Design, build, and optimise data pipelines for ingestion, transformation, and storage. Ensure data quality, integrity, and security controls are applied across systems. Apply cloud and data-engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over-engineering Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Core Data Analytical Capabilities Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases Comfortable working independently and communicating with non-technical stakeholders Supporting Data Engineering Capabilities Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) (Preferred) Hands-on experience with cloud platforms, ideally AWS Consulting-Level Competencies Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. Ability to design enterprise-grade data solutions under tight timelines. Strong stakeholder engagement and solution-oriented mindset. Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one. Ability to implement standards and frameworks for scalable data solutions across multiple operating companies. Familiarity with airline or logistics data domains is a plus. Location & Travel Initial co-location with client teams in London is essential to ensure close collaboration. Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment. Compensation Premium-level role; competitive rates aligned with UK consultancy benchmarks. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
Apr 27, 2026
Full time
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
Research Engineer - Process Chemistry & Scale Up On-site / Hybrid considered Salary £26,000 - £34,000 per annum About the Role: CPI is seeking a Research Engineer - Process Chemistry & Scale Up to join our Process Chemistry and Scale Up team, an interdisciplinary group of engineers and chemists working at the interface between laboratory science and pilot-scale manufacturing. This role is firmly engineering-focused. You will work alongside process chemists to bridge the gap between bench-scale chemistry and scalable, robust processes , with a particular focus on powder-based systems, particle technologies, and battery-related applications . The team has recently opened a new pilot plant facility , and this role will play a key part in commissioning, maintaining, and operating larger-scale equipment - supporting scale-up, process understanding, and delivery of client and internal programmes. This opportunity is well suited to an early-career or developing engineer (for example a recent PhD graduate or MEng Chemical Engineer) who wants to apply engineering thinking in a hands-on, applied R&D environment. What You'll Be Responsible For: Process Engineering & Scale-Up Support scale-up activities from bench-scale chemistry into pilot-scale processes Apply engineering principles to translate laboratory concepts into practical, scalable solutions Work closely with chemists to enable robust and manufacturable processes Pilot Plant & Equipment Support Commission, maintain, and support pilot-scale processing equipment Carry out equipment calibration, routine maintenance, and troubleshooting Support the safe operation of larger-scale and specialist process equipment Powder & Particle Technology Contribute to projects involving powder processing, characterisation, and handling Apply knowledge of particulate systems within battery materials and related technologies Support development work involving complex particles and solids processing Process Understanding & Modelling Contribute to process simulation, modelling, and data analysis where appropriate Support experimental planning, scale-up studies, and technical reporting Maintain high-quality documentation in line with SHE, quality, and best practice requirements Collaboration & Delivery Work as part of a multidisciplinary team of engineers and chemists Take ownership of delegated engineering tasks and deliver them reliably Support commissioning and early operation of new facilities and capabilities About You: You are an engineer first and foremost , with an interest in applying engineering thinking to chemistry-led processes. You enjoy practical problem-solving and want exposure to real equipment, pilot plants, and scale-up challenges. You'll bring: A background in Chemical Engineering (degree, MEng, or PhD) or a closely related discipline An engineering mindset with an interest in process scale-up and applied R&D Exposure to powders, particles, solids handling, or powder characterisation (from academia or industry) Willingness to work hands-on with equipment in a pilot-plant environment A structured, dependable approach to completing delegated tasks Desirable (but not essential): Exposure to battery materials or battery processing Experience of pilot-scale equipment, commissioning activities, or laboratories Familiarity with process simulation or modelling tools PhD qualification or membership (or working towards membership) of a professional engineering body This role is not suited to a pure scientist profile - we are specifically looking for someone who wants to develop and apply engineering capability . Why Join CPI? Work at the interface of chemistry, engineering, and scale-up Hands-on experience with new pilot plant facilities and equipment Exposure to emerging technologies, including battery materials and particulate systems Supportive, collaborative team environment with strong technical mentoring Clear development pathway, with potential to progress role level and salary Location & Working Pattern Based primarily on site within CPI's facilities Some flexibility may be available depending on project needs Role involves practical, on-site engineering work with pilot equipment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Apr 27, 2026
Full time
Research Engineer - Process Chemistry & Scale Up On-site / Hybrid considered Salary £26,000 - £34,000 per annum About the Role: CPI is seeking a Research Engineer - Process Chemistry & Scale Up to join our Process Chemistry and Scale Up team, an interdisciplinary group of engineers and chemists working at the interface between laboratory science and pilot-scale manufacturing. This role is firmly engineering-focused. You will work alongside process chemists to bridge the gap between bench-scale chemistry and scalable, robust processes , with a particular focus on powder-based systems, particle technologies, and battery-related applications . The team has recently opened a new pilot plant facility , and this role will play a key part in commissioning, maintaining, and operating larger-scale equipment - supporting scale-up, process understanding, and delivery of client and internal programmes. This opportunity is well suited to an early-career or developing engineer (for example a recent PhD graduate or MEng Chemical Engineer) who wants to apply engineering thinking in a hands-on, applied R&D environment. What You'll Be Responsible For: Process Engineering & Scale-Up Support scale-up activities from bench-scale chemistry into pilot-scale processes Apply engineering principles to translate laboratory concepts into practical, scalable solutions Work closely with chemists to enable robust and manufacturable processes Pilot Plant & Equipment Support Commission, maintain, and support pilot-scale processing equipment Carry out equipment calibration, routine maintenance, and troubleshooting Support the safe operation of larger-scale and specialist process equipment Powder & Particle Technology Contribute to projects involving powder processing, characterisation, and handling Apply knowledge of particulate systems within battery materials and related technologies Support development work involving complex particles and solids processing Process Understanding & Modelling Contribute to process simulation, modelling, and data analysis where appropriate Support experimental planning, scale-up studies, and technical reporting Maintain high-quality documentation in line with SHE, quality, and best practice requirements Collaboration & Delivery Work as part of a multidisciplinary team of engineers and chemists Take ownership of delegated engineering tasks and deliver them reliably Support commissioning and early operation of new facilities and capabilities About You: You are an engineer first and foremost , with an interest in applying engineering thinking to chemistry-led processes. You enjoy practical problem-solving and want exposure to real equipment, pilot plants, and scale-up challenges. You'll bring: A background in Chemical Engineering (degree, MEng, or PhD) or a closely related discipline An engineering mindset with an interest in process scale-up and applied R&D Exposure to powders, particles, solids handling, or powder characterisation (from academia or industry) Willingness to work hands-on with equipment in a pilot-plant environment A structured, dependable approach to completing delegated tasks Desirable (but not essential): Exposure to battery materials or battery processing Experience of pilot-scale equipment, commissioning activities, or laboratories Familiarity with process simulation or modelling tools PhD qualification or membership (or working towards membership) of a professional engineering body This role is not suited to a pure scientist profile - we are specifically looking for someone who wants to develop and apply engineering capability . Why Join CPI? Work at the interface of chemistry, engineering, and scale-up Hands-on experience with new pilot plant facilities and equipment Exposure to emerging technologies, including battery materials and particulate systems Supportive, collaborative team environment with strong technical mentoring Clear development pathway, with potential to progress role level and salary Location & Working Pattern Based primarily on site within CPI's facilities Some flexibility may be available depending on project needs Role involves practical, on-site engineering work with pilot equipment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the click apply for full job details
Apr 27, 2026
Contractor
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the click apply for full job details
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 27, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 27, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
Apr 27, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Apr 27, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Chemistry Laboratory Technician Location: Cambridge, UK Salary: 13 - 14 p/h (commensurate with experience) Duration: Anticipated 12 month contract initially Proclinical is working alongside a discovery-focused life sciences organisation which is based in Cambridge and is seeking a Chemistry Laboratory Technician to join its laboratory operations team. This is a hands-on, lab-based role supporting day-to-day chemistry lab activities within a modern drug discovery environment. The position is central to ensuring laboratories run smoothly, enabling scientists to focus on core research and discovery work. It will primarily support the Chemistry function, with scope to provide wider operational support across related scientific teams as the organisation continues to grow. Key Responsibilities include; Laboratory & Inventory Support Register incoming chemicals into the laboratory inventory system Manage consumables, reagents and solvent stock using structured stock control processes (e.g. Kanban) Place chemical and consumable orders via catalogue and non-catalogue systems Waste & Compliance Prepare, label and manage chemical waste streams in line with regulatory requirements Coordinate waste collections with internal and campus-wide teams Support COSHH documentation for laboratory technician activities Laboratory Operations General laboratory housekeeping and support tasks Dry ice top-ups, liquid nitrogen refills and gas cylinder checks Preparation of solutions and LC?MS solvent management Routine fume hood airflow checks Monitor and replenish PPE, spill kits and first aid supplies Coordinate lab coat laundering Equipment Support Basic support of open-access analytical equipment (e.g. LC?MS, NMR), including solvent management and routine checks Raise maintenance requests and liaise with vendors where required Cross Functional Support Provide operational resilience across other laboratory functions, including biology, compound management and DMPK as needed Experience & Skills: Demonstrable experience working in a laboratory environment Good understanding of laboratory operations, safety and compliance Strong organisational skills with attention to detail Comfortable working independently and as part of a multidisciplinary team Competent IT skills (e.g. Microsoft Office) Desirable (but not essential): Degree in Chemistry or a related scientific discipline Knowledge of COSHH and chemical inventory systems Exposure to LC?MS, NMR or HPLC in a support capacity Experience with procurement or stock management systems If you are having difficulty in applying or if you have any questions, please contact Neil Walton at (url removed). If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - (url removed)
Apr 27, 2026
Contractor
Chemistry Laboratory Technician Location: Cambridge, UK Salary: 13 - 14 p/h (commensurate with experience) Duration: Anticipated 12 month contract initially Proclinical is working alongside a discovery-focused life sciences organisation which is based in Cambridge and is seeking a Chemistry Laboratory Technician to join its laboratory operations team. This is a hands-on, lab-based role supporting day-to-day chemistry lab activities within a modern drug discovery environment. The position is central to ensuring laboratories run smoothly, enabling scientists to focus on core research and discovery work. It will primarily support the Chemistry function, with scope to provide wider operational support across related scientific teams as the organisation continues to grow. Key Responsibilities include; Laboratory & Inventory Support Register incoming chemicals into the laboratory inventory system Manage consumables, reagents and solvent stock using structured stock control processes (e.g. Kanban) Place chemical and consumable orders via catalogue and non-catalogue systems Waste & Compliance Prepare, label and manage chemical waste streams in line with regulatory requirements Coordinate waste collections with internal and campus-wide teams Support COSHH documentation for laboratory technician activities Laboratory Operations General laboratory housekeeping and support tasks Dry ice top-ups, liquid nitrogen refills and gas cylinder checks Preparation of solutions and LC?MS solvent management Routine fume hood airflow checks Monitor and replenish PPE, spill kits and first aid supplies Coordinate lab coat laundering Equipment Support Basic support of open-access analytical equipment (e.g. LC?MS, NMR), including solvent management and routine checks Raise maintenance requests and liaise with vendors where required Cross Functional Support Provide operational resilience across other laboratory functions, including biology, compound management and DMPK as needed Experience & Skills: Demonstrable experience working in a laboratory environment Good understanding of laboratory operations, safety and compliance Strong organisational skills with attention to detail Comfortable working independently and as part of a multidisciplinary team Competent IT skills (e.g. Microsoft Office) Desirable (but not essential): Degree in Chemistry or a related scientific discipline Knowledge of COSHH and chemical inventory systems Exposure to LC?MS, NMR or HPLC in a support capacity Experience with procurement or stock management systems If you are having difficulty in applying or if you have any questions, please contact Neil Walton at (url removed). If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - (url removed)
We're currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced "mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You'll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You'll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days' annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they're looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What's on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you're looking to make a real impact in a growing organisation and build modern, scalable data solutions, we'd love to hear from you!
Apr 27, 2026
Full time
We're currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced "mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You'll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You'll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days' annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they're looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What's on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you're looking to make a real impact in a growing organisation and build modern, scalable data solutions, we'd love to hear from you!
We're currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced "mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You'll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You'll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days' annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they're looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What's on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you're looking to make a real impact in a growing organisation and build modern, scalable data solutions, we'd love to hear from you!
Apr 27, 2026
Full time
We're currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced "mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You'll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You'll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days' annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they're looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What's on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you're looking to make a real impact in a growing organisation and build modern, scalable data solutions, we'd love to hear from you!
BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US. We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL, to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture. Key Responsibilities As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business. We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders. Skills, Knowledge & Expertise Experience and knowledge: Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks. Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts) Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas. Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes. Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable) Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable) Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable). Experience working with semi-structured data formats such as JSON and XML (desirable) Skills: Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process Problem solving - the ability to identify creative solutions to overcome problems Ability to impart knowledge and offer options to colleagues across the group Working with multiple data sources at one time delivering solutions that enable insights into complex data sets Personal Attributes: Ability to work to tight deadlines Ability to think and act purposefully and methodically A partnership approach to working with a variety of stakeholders Ability to keep it simple and to make it happen Thirst for continuous improvement Strong communication and engagement - ability to communicate calmly under pressure Positive and open outlook Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save Scheme Life Assurance Enhanced Maternity, Adoption & Paternity Scheme Health & Wellbeing Initiatives Discount Scheme
Apr 27, 2026
Full time
BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US. We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL, to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture. Key Responsibilities As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business. We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders. Skills, Knowledge & Expertise Experience and knowledge: Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks. Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts) Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas. Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes. Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable) Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable) Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable). Experience working with semi-structured data formats such as JSON and XML (desirable) Skills: Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process Problem solving - the ability to identify creative solutions to overcome problems Ability to impart knowledge and offer options to colleagues across the group Working with multiple data sources at one time delivering solutions that enable insights into complex data sets Personal Attributes: Ability to work to tight deadlines Ability to think and act purposefully and methodically A partnership approach to working with a variety of stakeholders Ability to keep it simple and to make it happen Thirst for continuous improvement Strong communication and engagement - ability to communicate calmly under pressure Positive and open outlook Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save Scheme Life Assurance Enhanced Maternity, Adoption & Paternity Scheme Health & Wellbeing Initiatives Discount Scheme
Are you a protein scientist with a passion for translating cutting-edge biology into real-world products? We're looking for a Senior Development Scientist to join our client's team and help shape the next generation of protein science. You'll lead the design and optimisation of protein-based assays and workflows - from early feasibility through to robust, scalable solutions ready for commercial dep click apply for full job details
Apr 27, 2026
Full time
Are you a protein scientist with a passion for translating cutting-edge biology into real-world products? We're looking for a Senior Development Scientist to join our client's team and help shape the next generation of protein science. You'll lead the design and optimisation of protein-based assays and workflows - from early feasibility through to robust, scalable solutions ready for commercial dep click apply for full job details
Performance Data Engineer / Scientist Department - Sport System Institute Services Salary - £41,574.01 £44,535.11 (pro rata) Working Hours - 4 days (30 hours) Type of Contract 1 year fixed term Location - Sport Wales National Centre, Cardiff Closing Date: 4th May 2026 9am Provisional Interview Date: 14th May 2026 Please go to our website to view the full advert and job description and apply click apply for full job details
Apr 27, 2026
Full time
Performance Data Engineer / Scientist Department - Sport System Institute Services Salary - £41,574.01 £44,535.11 (pro rata) Working Hours - 4 days (30 hours) Type of Contract 1 year fixed term Location - Sport Wales National Centre, Cardiff Closing Date: 4th May 2026 9am Provisional Interview Date: 14th May 2026 Please go to our website to view the full advert and job description and apply click apply for full job details
Contract Machine Learning / Data Scientist (SC Cleared) We are seeking an experienced Machine Learning / Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments click apply for full job details
Apr 27, 2026
Contractor
Contract Machine Learning / Data Scientist (SC Cleared) We are seeking an experienced Machine Learning / Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments click apply for full job details
