White Collar Factory (95009), United Kingdom, London, London
Data Scientist / Deep Learning Practitioner
****Job Title: ****Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level
Location: ****London or Nottingham
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 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 developing 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
- Develop 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.
- 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.
The skills and experience you'll need
- Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
- 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.
- Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
- 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 OR London office.
We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.
Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.
What’s in it for you
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications.
In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:
- Wealth & Future: Competitive pension and performance-based bonus schemes
- Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.
- Health: Access premium care through our private medical insurance.
- Family Support: We champion your milestones with enhanced parental leave.
A full list of our benefits is availablehere.
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.
We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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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).