At a Glance
- Tasks: Develop and maintain machine learning models to solve real business challenges in lending.
- Company: Join Capital One, a top-rated workplace committed to innovation and diversity.
- Benefits: Enjoy competitive pay, flexible working, and access to extensive training programmes.
- Other info: Hybrid work model with a vibrant office environment and excellent career growth opportunities.
- Why this job: Make a real impact with data science while collaborating with a talented team.
- Qualifications: Strong stats background, coding skills in Python, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
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.
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. 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.
- Consult on complex statistical test design.
- Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
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.
- 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.
- Ability to communicate findings to a diverse business focused audience.
- A drive for continued learning through an internal and external focus.
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.
What’s in it for you: We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes. 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.
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.
Capital One is committed to diversity in the workplace. 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.
Data Scientist - Model Developer / Statistician employer: Capital One UK
At Capital One, we pride ourselves on being a leading technology-driven company that values innovation and collaboration. Our Nottingham office offers a vibrant work culture with extensive growth opportunities, including access to funding for external qualifications and a comprehensive benefits package designed to support your well-being. Join us to make a meaningful impact in the world of finance while enjoying a supportive environment that champions diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Model Developer / Statistician
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We think you need these skills to ace Data Scientist - Model Developer / Statistician
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capital One UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital One UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital One UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital One UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
