Data Scientist​/Deep Learning Practitioner

Job Title

Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level

London or Nottingham

3 days in-office (Tuesday-Thursday) and 2 days remote.

Our Data Science team develops machine learning and deep learning solutions to solve business problems. This role focuses on building proprietary deep learning models for underwriting and supporting partners in developing advanced servicing products using large language models.

• Develop new deep‑learning approaches to enhance underwriting models.
• Apply models to new (multi‑modal) data types.
• Consult with tech and product partners to design, develop and launch LLM‑powered products.
• Use coding, statistical skills and business acumen to extract actionable solutions from large datasets.
• Work cross‑functionally on projects that support key business initiatives and drive sustainable growth.

• Experience developing and deploying deep‑learning models for sequential data (e.g., time series, language) using LSTMs or transformers.
• Hands‑on experience with PyTorch, Tensor Flow or Hugging Face Transformers.
• Familiarity with pre‑training and fine‑tuning large‑scale models.
• Experience with structured and unstructured data, tokenisation techniques.
• Strong understanding of probability, statistics and machine learning, and ability to manipulate large data sets.
• Proficient in Python; able to adapt to new languages and technologies.
• Excellent communication skills for diverse business audiences.
• Drive for continued learning and development of industry‑leading solutions.

This is a permanent position based in our Nottingham or London office. Work is hybrid: three days a week in the office (Tuesday‑Thursday) and two days remote.

• Competitive pension and performance‑based bonus schemes.
• 25 days of annual leave, increasing with tenure (plus option to buy 5 additional days).
• Access to premium care through private medical insurance.
• Enhanced parental leave and family support.
• Up to £5,000 in funding for external qualifications.

Capital One is committed to diversity in the workplace.