Nottingham, Eng
Live, first seen by us 74 days agoJob Title: Data Scientist - Model Developer / Statistician Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote.
Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission
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.Read the full posting
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.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights.
This role will primarily focus on critical business challenges in underwriting; developing and maintaining the models used to make customer lending decisions.
Develop and maintain the models used by key underwriting programs
Explore and evaluate data using advanced feature generation and categorisation
Consult on complex statistical test design for entering new market areas
Turn large data sets into actionable solutions working cross-functionally
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 critical business challenges in underwriting; developing and maintaining the models used to make customer lending decisions. We are interested in candidates who have a deep grounding in statistics and experience of Model Risk Management. Experience of working with Open Banking or Credit Bureau data is also welcomed.
Develop and maintain the models used by our key underwriting programs
Explore and evaluate data using advanced feature generation and categorisation techniques
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
A strong understanding of probability, statistics, machine learning, feature extraction
Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring.
Experience in producing reliable and maintainable code in Python
Ability to communicate findings to a diverse business focused audience
Familiarity with Open Banking or Credit Bureau data.
We’re on a mission to be a force for good in lending.
In the employer’s words · Read in context
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- Familiarity with Open Banking or Credit Bureau data. - 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.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job Title: Data Scientist - Model Developer / Statistician
Location: Nottingham - Hybrid
Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote.
Our Mission
We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK.
About the 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 critical business challenges in underwriting; developing and maintaining the models used to make customer lending decisions. We are interested in candidates who have a deep grounding in statistics and experience of Model Risk Management. Experience of working with Open Banking or Credit Bureau data is also welcomed.
What you’ll do
Develop and maintain the models used by our key underwriting programs,
Explore and evaluate data using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation.
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.
Familiarity with Open Banking or Credit Bureau data.
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.
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
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com 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 Careers@capitalone.com
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).
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Nottingham, Eng
Job Title: Data Scientist - Model Developer / Statistician Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission
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.
No clear work-authorization passage found. Eligibility is unconfirmed.