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Location: Nottingham, UK Compensation: high salary + meaningful equity + performance bonus Start Date: Immediate Type: Full-time, permanent Visa Sponsorship: For exceptional candidates only About Concrete4Change Concrete and cement are among the largest industrial sources of CO₂ on Earth. We are building technology to change that. Concrete4Change captures CO₂ and locks it permanently into high-performance construction materials. The goal is simple: make decarbonisation of concrete commercially unavoidable. This is deep tech. Real chemistry. Real scale-up. Real industrial constraints. We are past the stage of academic curiosity. The job now is execution. That means building technology that works in the lab, at pilot scale, and in industry. It means solving hard problems in reaction chemistry, mineral formation, cementitious systems, product performance, and scale-up. It means moving fast and being right. This is a role for someone who wants to build something that matters. The Role We are looking for a world-class scientist to lead one of the most important technical areas in the company. Your job is to understand, control, and improve how captured CO₂ becomes stable mineral phases and how those phases behave inside cementitious systems. You will drive the science behind reaction pathways, kinetics, phase formation, hydration, carbonation, microstructure, durability, and real-world performance. You will turn chemistry into product decisions. You will turn data into scale-up decisions. You will turn scientific understanding into industrial advantage. This is not a role for someone who wants low pressure, unclear ownership, or years of discussion before action. You will work on problems that matter to the core of the company. You will be expected to think clearly, move quickly, challenge assumptions, and make good decisions with imperfect data. You will work closely with engineering, plant, and commercial teams. You will help build experimental capability, improve technical standards, and mentor other scientists and engineers. What We’re Looking For • PhD in Cement Chemistry, Construction Materials, Materials Science, Chemistry, Chemical Engineering, Civil Engineering, or a related field, • 10+ years of industrial experience in carbon capture, CO₂ mineralisation, carbon utilisation, cement chemistry, concrete chemistry, or related materials chemistry, • 5+ years in start-ups or high-growth environments, • Deep understanding of reaction chemistry, including mechanisms, kinetics, phase formation, and material transformation, • Strong expertise in one or both of these domains:, • carbon capture / CO₂ mineralisation, • cement chemistry / concrete chemistry, • Strong grasp of analytical methods and hands-on experience interpreting complex materials data, • Comfortable working with methods such as XRD, TGA/DSC, FTIR, Raman, SEM/EDS, particle analysis, wet chemistry, and performance testing, • Able to connect chemistry to process conditions, product requirements, and industrial scale-up, • Proven ability to lead important technical programmes and make high-quality decisions You’ll Probably Be a Great Fit If • You care about first-principles thinking, • You like hard problems more than polished presentations, • You can go deep technically and still stay focused on what changes outcomes, • You are excited by speed, ambiguity, and accountability, • You want your work to end up in pilot plants, products, factories, and real deployment THIS JOB IS NOT FOR YOU IF • You want a slow, highly structured corporate environment, • You prefer observation over ownership, • You need constant consensus before making progress, • You like research but not execution, • You are more comfortable writing reports than delivering results, • You come from an academic way of working and are not ready for fast industrial execution, • You are looking for a relaxed working environment rather than a high-performance one, • You want to avoid start-up pressure, ambiguity, and pace, • You are not comfortable being judged on results What You Get • High-impact role in a company solving a globally important industrial problem, • Meaningful equity, • Strong salary, • Performance bonus, • Private health insurance and healthcare cash plan, • Pension

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 Data Scientist / Statistician (Model Developer) About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed. What you’ll do * Develop and maintain the machine learning models which define our competitive advantage in the financial services market. * Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. * Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. * Consult on complex statistical test design, to efficiently learn our way into new areas of the market. * Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we’re looking for * A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. * Experience using deep learning models, particularly for sequential data. * Familiarity with Open Banking or Credit Bureau data. * Experience working with multi-modal data; in multiple formats from a variety of different sources. * Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. * Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. * Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value. * Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. * A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. 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 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). 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.

Location: Nottingham, UK Compensation: high salary + meaningful equity + performance bonus Start Date: Immediate Type: Full-time, permanent Visa Sponsorship: For exceptional candidates only About Concrete4Change Concrete and cement are among the largest industrial sources of CO₂ on Earth. We are building technology to change that. Concrete4Change captures CO₂ and locks it permanently into high-performance construction materials. The goal is simple: make decarbonisation of concrete commercially unavoidable. This is deep tech. Real chemistry. Real scale-up. Real industrial constraints. We are past the stage of academic curiosity. The job now is execution. That means building technology that works in the lab, at pilot scale, and in industry. It means solving hard problems in reaction chemistry, mineral formation, cementitious systems, product performance, and scale-up. It means moving fast and being right. This is a role for someone who wants to build something that matters. The Role We are looking for a world-class scientist to lead one of the most important technical areas in the company. Your job is to understand, control, and improve how captured CO₂ becomes stable mineral phases and how those phases behave inside cementitious systems. You will drive the science behind reaction pathways, kinetics, phase formation, hydration, carbonation, microstructure, durability, and real-world performance. You will turn chemistry into product decisions. You will turn data into scale-up decisions. You will turn scientific understanding into industrial advantage. This is not a role for someone who wants low pressure, unclear ownership, or years of discussion before action. You will work on problems that matter to the core of the company. You will be expected to think clearly, move quickly, challenge assumptions, and make good decisions with imperfect data. You will work closely with engineering, plant, and commercial teams. You will help build experimental capability, improve technical standards, and mentor other scientists and engineers. What We’re Looking For • PhD in Cement Chemistry, Construction Materials, Materials Science, Chemistry, Chemical Engineering, Civil Engineering, or a related field, • 10+ years of industrial experience in carbon capture, CO₂ mineralisation, carbon utilisation, cement chemistry, concrete chemistry, or related materials chemistry, • 5+ years in start-ups or high-growth environments, • Deep understanding of reaction chemistry, including mechanisms, kinetics, phase formation, and material transformation, • Strong expertise in one or both of these domains:, • carbon capture / CO₂ mineralisation, • cement chemistry / concrete chemistry, • Strong grasp of analytical methods and hands-on experience interpreting complex materials data, • Comfortable working with methods such as XRD, TGA/DSC, FTIR, Raman, SEM/EDS, particle analysis, wet chemistry, and performance testing, • Able to connect chemistry to process conditions, product requirements, and industrial scale-up, • Proven ability to lead important technical programmes and make high-quality decisions You’ll Probably Be a Great Fit If • You care about first-principles thinking, • You like hard problems more than polished presentations, • You can go deep technically and still stay focused on what changes outcomes, • You are excited by speed, ambiguity, and accountability, • You want your work to end up in pilot plants, products, factories, and real deployment THIS JOB IS NOT FOR YOU IF • You want a slow, highly structured corporate environment, • You prefer observation over ownership, • You need constant consensus before making progress, • You like research but not execution, • You are more comfortable writing reports than delivering results, • You come from an academic way of working and are not ready for fast industrial execution, • You are looking for a relaxed working environment rather than a high-performance one, • You want to avoid start-up pressure, ambiguity, and pace, • You are not comfortable being judged on results What You Get • High-impact role in a company solving a globally important industrial problem, • Meaningful equity, • Strong salary, • Performance bonus, • Private health insurance and healthcare cash plan, • Pension

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

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). 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, LondonLead Data Scientist - Deep Learning PractitionerAbout this roleOur Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. This role w

A leading financial technology company is seeking a Lead Data Scientist specializing in deep learning to innovate underwriting models.The ideal candidate will lead teams to apply deep learning techniques to enhance product development, collaborate with tech partners, and contribute to significant da

A leading financial services company is looking for a Lead Data Scientist to focus on developing advanced deep learning models to enhance underwriting capabilities.This role requires substantial experience in model development, collaboration with business stakeholders, and proficiency in modern mach

Location: LondonWorking Model:Hybrid | 3 days travel primarily between London & Cardiff, with expenses fully coveredSalary: Up to £125,000 + PackageSole British National Eligible for security clearanceWho youll be working with:Youll have the opportunity to work alongside a leading AI consultancy a

An innovative tech company in Greater London is seeking a Research Scientist Manager to lead a global team in advancing machine learning and AI research.

A global consulting firm is seeking a Senior Data Scientist for their London office. The ideal candidate will have a Bachelor's or Master's degree in a quantitative field, experience in team leadership, and proficiency in Python and MLOps tools. In this role, you will design and implement advanced d

Lead Data Scientist page is loaded## Lead Data Scientistremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R0018834Job Type:PermanentBuild a brilliant future with HiscoxReporting to: Re & ILS Head of DataLocation: Lo

A fintech company is looking for a Lead/Senior Data Scientist based in the United Kingdom.

A fast-growing AI-driven product company in the UK is seeking a Senior/Lead Data Scientist. This role involves ownership of the data science lifecycle, building and maintaining machine learning models with a focus on Computer Vision. If you excel in data science and are ready for a challenging role,

In short, you’ll own Fyxers data science capabilities — you’ll set the roadmap for high-impact business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions. Maintain data infrastructure (BigQuery, dbt, Fivetr

About the job**We are searching for a dynamic Lead Data Scientist to join our team and evolve, build, and lead our portfolio of AI, Machine learning and sophisticated data science solutions. You will work hands-on and lead a very hardworking, cross-functional, and geographical team with multifaceted

A leading fintech company in the UK is looking for a Lead/Senior Data Scientist to enhance the performance of credit products. Candidates must have over 4 years of data science experience, particularly in risk-focused roles.

As our Lead Data Scientist, you’ll develop, test and embed advanced telematics models that help us price smarter, understand driver behaviour, and reduce risk. If you’re ready for a step up or already leading in the data science space, this role gives you the platform to make your impact felt. Y

They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. You’ll work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, a

Working within the Group Data Science team as our Lead Data Scientist, you will be responsible for providing the business with a highly capable data science and machine learning chapter. The Hiscox Data Team is transforming data maturity across the organisation to accelerate business growth and effi

A rapidly scaling technology company in London seeks a Lead Data Scientist to own the data ecosystem and enhance operational decision-making. You will design, build, and scale the company's data capabilities while collaborating with product and engineering teams. Strong skills in Python, SQL, and da

Head of Data Science - Permanent hire - Hybrid/Central London - offering £100,000+. I'm hiring a Head of Data Science to help scale a live AI-powered retail discovery platform 🚀. Looking for someone hands‑on with computer vision, production ML pipelines, AWS, and modern deployment practices, w

It consists of several teams focused on accelerating JPMorgan Chase’s data, analytics, and AI journey, including data strategy, data impact optimization, privacy, data governance, transformation, and talent. Experience with data standards and ontologies for Data and Financial services. Your role w

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. As a Lead Data Scientist you will:. As a Lead Data Scientist, you will be expecte

Lead Data Scientist / Deep Learning Practitioner. Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. By utilizing a mix of new and existing data, you will identify ways to improve predictive po

Senior Data Scientist – Energy Trading. We’re hiring multiple Senior Data Scientists to join a high‑impact energy trading environment for an Oil and Gas Major. This role is focused on designing, building, and deploying robust data science and machine learning solutions that directly support tr

A data consultancy firm in the UK seeks an experienced Data Science Consultant to lead complex projects while delivering innovative solutions. You will collaborate closely with clients, identify their data science needs, and apply best practices in data engineering and analysis. The ideal candidate

Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience gi

This role demands ownership of the technical data science vision, direct client partnership, and mentoring the next generation of data science talent. Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit‑Learn), plus familiarity with deep‑learning frame

Data‑centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc. Plenty of data, compute, and high‑impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. As a Research Scientist Manager, you will play

We’re looking for a Lead/Senior Data Scientist to help us measure, monitor, and improve the performance of Cleo’s credit products. Lead/Senior Data Scientist (Credit Risk) Office: United Kingdom Remote: Germany | Portugal | Spain | UK Apply for this role. You’ll be analysing behaviour across m

We are looking for a Lead Data Scientist, reporting to the Head of Data Science, to be a pivotal contributor to our Core Pricing team. Data Tools: Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn). Line management and mentorship -

A leading UK technology company is looking for a Lead Data Scientist to architect and deliver cutting-edge AI solutions.

A leading healthcare consultancy in the UK is seeking a Lead Data Scientist to drive data science strategy and innovation. Candidates should have a relevant degree, extensive experience in healthcare data science projects, and strong programming skills in Python and SQL. The role involves collaborat

Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. We are seeking a highly motivated Lead Data Scientist to join our Fraud Risk Team. Data Analysis & Intelligence Creation: Condu

They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. You'll work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, and

A sports analytics company in London is seeking a Lead Data Scientist to join their Global Football Metrics team, focusing on innovative machine learning models.

We're looking for a Lead Data Scientist excited to help build the bank of the future. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Lead the data strategy and continue to evolve Monzo for our customers to make it

A leading data science company in Greater London seeks a Research Data Science Manager to lead a team focused on generative AI and research methodologies.

Lead and mentor a team of 3 Data Scientists. Proven experience in a Data Science leadership or senior role. Get notified about new Data Scientist jobs in.

A leading consulting firm is seeking a Principal Data Scientist to innovate within a prestigious brand. This role offers a unique chance to shape the approach to data science in a greenfield environment, impacting the organization significantly. This position also provides a pathway to leadership as

A leading legal information provider in the UK seeks a Senior Data Scientist II to design and deploy AI and ML solutions. The ideal candidate will have solid experience with OpenAI APIs and strong capabilities in data engineering.

A global insurance company is looking for a Principal Data Scientist to lead complex data science initiatives in London or York. You will manage the delivery of impactful data science projects and mentor fellow data scientists.

We're looking for a Lead Data Scientist excited to help build the bank of the future. You are excited about mentoring other data scientists and analytics engineers. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London. They are not looking for purely analytical data scientists or academic optimisation specialists. We are working with a major international transport and operations organisation building out a central AI and Data Sc

A leading AI solutions provider based in Greater London is seeking a Senior Data Scientist to lead high-impact AI projects. The ideal candidate will possess strong Python skills, expertise in data science paradigms, and the ability to mentor junior staff while ensuring robust AI solutions.