Data Scientist - Model Developer / Statistician

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist - Model Developer / Statistician Job Title: Data Scientist - Model Developer / Statistician Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote.

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.

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