Data Scientist​/Deep Learning Practitioner

Position: Data Scientist / Deep Learning Practitioner
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.  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, Tensor Flow, 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…