At a Glance
- Tasks: Develop innovative deep learning models to tackle real business challenges in lending.
- Company: Join Capital One, a top-rated workplace focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, extensive learning opportunities, and a supportive work environment.
- Other info: Hybrid work model with inspiring office spaces and a culture of belonging.
- Why this job: Make a meaningful impact using cutting-edge technology while growing your career.
- Qualifications: Experience with deep learning models and strong coding skills in Python required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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).
- 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.
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.
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.
Capital One is committed to diversity in the workplace.
Data Scientist / Deep Learning Practitioner in Mansfield employer: Capital One UK
At Capital One, we pride ourselves on being a top employer, consistently recognised for our commitment to employee growth and well-being. Our Nottingham office offers a vibrant work environment with modern amenities, a hybrid working model, and extensive professional development opportunities, including funding for external qualifications. We foster a culture of belonging, where diverse perspectives are valued, ensuring that every associate can thrive and contribute meaningfully to our mission of transforming banking for good.
