Data Scientist / Statistician (Model Developer)

Capital One; Nottingham; Hybrid; GBP 50,000 - 75,000; Full time

Benefits offered by this job

Pension scheme

Bonus

Generous holiday entitlement

Private medical insurance

Fully-serviced gym

Subsidised restaurant

Job summary

Capital One in Nottingham is seeking a Data Scientist to develop and maintain machine learning models that define our competitive advantage. You'll explore and evaluate data, providing powerful insights while working closely with business partners.

The ideal candidate has strong skills in statistics and machine learning, particularly deep learning for sequential data. This permanent role allows for hybrid working, fostering career progression and offering great benefits, including private medical insurance.

Qualifications

• Strong understanding of probability, statistics, and machine learning.
• Experience with deep learning models for sequential data.
• Familiarity with Open Banking or Credit Bureau data.
• Ability to produce reliable, maintainable Python code.
• Experience in Model Risk Management practices.

Responsibilities

• Develop and maintain machine learning models for business solutions.
• Explore and evaluate data with advanced feature generation techniques.
• Analyse diverse data types to generate insights.
• Consult on statistical test design for new market areas.
• Navigate large data sets to extract actionable solutions.

Skills

Probability

Statistics

Machine Learning

Deep Learning

Python

Model Risk Management

Data Manipulation

Communication

Job description

Location

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

About this role

Our Data Science team focuses on developing machine learning and AI solutions to solve business problems and deliver actionable insights. We are a collaborative, enthusiastic group who use our expertise to make sense of complex data, working closely with our business partners. This role will primarily focus on feature engineering and insight generation from new data types, and the development of machine learning models to address critical business challenges in underwriting. Candidates with experience working with Open Banking or Credit Bureau data, and a deep grounding in statistics and Model Risk Management, are preferred.

What you’ll do

• Develop and maintain machine learning models defining our competitive advantage in the financial services market.
• Explore and evaluate data using advanced feature generation and categorisation techniques to stay at the forefront of innovation.
• Analyse tabular and non‑tabular data (text, logs, time series) to produce powerful insights.
• Consult on complex statistical test design, efficiently learning into new market areas.
• Use a combination of business acumen, coding, and statistical skills to navigate large data sets 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 from multiple sources.
• Experience in producing reliable, maintainable code in Python and ability to adapt to new languages and technologies.
• Experience of Model Risk Management, including technical documentation, coding best practices, and ongoing monitoring.
• Natural curiosity, proactive engagement, and a desire to challenge status‑quo and identify data science value.
• Ability to communicate findings to a diverse, business‑focused audience, influencing verbally and in writing.
• A drive for continued learning both internally and externally to develop enterprise‑leading solutions.

Where and how you'll work

This is a permanent position based in our Nottingham office with a hybrid working model: in‑office Tuesdays, Wednesdays and Thursdays; remote Monday and Friday. Flexible working arrangements are available.

What’s in it for you

We offer strong career progression, training programmes and core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance. Flexibility in benefits such as season‑ticket loans, cycle to work scheme and enhanced parental leave is also available. Our head‑office provides a fully‑serviced gym, subsidised restaurant and mindfulness/music rooms.

Equity, Diversity & Inclusion

We are committed to creating a level playing field and seek to build teams representative of our customers and the communities we serve. Candidates from under‑represented groups, including women, LGBTQ+ and ethnic minorities, are especially encouraged to apply.