Data Scientist - Deep Learning Practitioner

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire — Data Scientist - Deep Learning Practitioner

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.

• 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.

• 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 led solutions.

We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under‑represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates.

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.

Many of our associates have flexible working arrangements, and we’re open to talking about an arrangement that works for you.

• Bring us all this – and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation.
• We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers).
• 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.
• Open‑plan work spaces and accessible facilities designed to inspire and support you. Our Nottingham head‑office has a fully‑serviced gym, subsidised restaurant, mindfulness and music rooms.

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…