Lead Data Scientist (Model Developer) / Deep Learning Practitioner
Location: Nottingham Trent House, Nottingham, Nottinghamshire, United Kingdom (95002)
About This 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 that uses our expertise to derive insights from complex data, working closely with business partners.
This role will focus on leading the development of proprietary deep learning models to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high‑impact customer insights.
What You’ll Do
* Lead the development of next generation deep learning approaches to advance our current underwriting models, ensuring our core lending capabilities remain at the forefront of the industry.
* Unlock the value in non‑traditional datasets by building sophisticated neural networks (e.g., LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi‑modal inputs into powerful predictive features.
* Collaborate with business stakeholders to prioritize initiatives, bridging the gap between ambitious R&D and tangible in‑market results, driving ideas from initial prototypes through to production.
* 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.
What We’re Looking For
* Strong experience developing and deploying deep learning models, particularly for sequential data (e.g., time series or language models).
* A proven track record leading model development, including setting the technical direction, project management, stakeholder communications, and mentoring junior team members.
* Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices.
* Hands‑on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters.
* 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.
* A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value.
Where and How You'll Work
Permanent position based in our Nottingham office. We have a hybrid working model: you’ll be based in our office three 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 discussing an arrangement that works for you.
What’s in it for You
* High performers receive strong and diverse career progression opportunities, with investment in development through our Capital One University training programmes and appropriate external providers.
* Immediate access to core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance, with flexible benefits available such as season‑ticket loans, cycle‑to‑work scheme and enhanced parental leave.
* Open‑plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head‑office has a fully‑serviced gym, subsidised restaurant, mindfulness and music rooms.
Capital One is committed to diversity in the workplace.
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