Data Scientist - Deep Learning Practitioner - Capital One

White Collar Factory (95009), United Kingdom, London, London

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 closely with our business partners.

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• 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 to stay at the forefront of innovation.
  
• Provide consultancy to our tech and product partners to design, develop and launch products powered by Large Language Models (LLMs), creating seamless experiences for 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.
  

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• Experience developing and deploying deep learning models, particularly for sequential data (e.g., time series, language) using 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 large‑data set manipulation.
  
• Proven ability to produce reliable and maintainable Python code and adapt to new languages and technologies.
  
• Strong communication skills to present findings to a diverse business‑focused audience.
  
• Drive for continued learning through internal and external focus to develop industry‑leading solutions.
  

We are committed to creating a level playing field and welcome candidates from under‑represented groups. We particularly encourage applications from women, the LGBTQ+ community, and ethnic minorities.

This is a permanent position based in our Nottingham or London office.

We have a hybrid working model: you’ll be in the office three days a week (Tues‑Wed‑Thu) and can work from home on Monday and Friday.

Many of our associates have flexible working arrangements, and we’re open to discussing a setup that works for you.

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• Opportunity to contribute to the roadmap of an organisation committed to transformation.
  
• Strong career progression and training programmes including Capital One University and external providers.
  
• Immediate access to core benefits: pension scheme, bonus, generous holiday entitlement and private medical insurance, plus flexible benefits such as season‑ticket loans, cycle‑to‑work scheme and enhanced parental leave.
  
• Open‑plan workspaces with accessible facilities designed to inspire and support you. Nottingham head‑office has a fully‑serviced gym, subsidised restaurant, mindfulness and music rooms. London offers rooftop running track and café access.
  

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: whatever you are, whatever you look like, wherever you come from. We focus on what you do, not just what you say.

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• REACH – Race Equality and Culture Heritage group focusing on representation, retention and engagement for associates from minority ethnic groups and allies.
  
• OutFront – LGBTQ+ support for all associates.
  
• Mind Your Mind – signposting support and promoting positive mental wellbeing for all.
  
• Women in Tech – promoting an inclusive environment in technology.
  
• EmpowHER – network of female associates and allies focused on developing future leaders, particularly female talent in our industry.
  

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.