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About the Role

Our Data Science team focuses on developing Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting and supporting business partners in developing advanced servicing products using Large Language Models.

Responsibilities

• Develop new deep learning approaches to advance current underwriting models.
• Apply deep learning approaches to new types of (multi-modal) data.
• Provide consultancy to tech and product partners to help design, develop, and launch products powered by Large Language Models (LLMs).
• Use business acumen, coding, and statistical skills to navigate large data sets and extract actionable solutions.
• Work cross-functionally on projects that support key business initiatives and drive sustainable growth.

Requirements

• 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, 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 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.

Skills

• Deep Learning
• Machine Learning
• Large Language Models (LLMs)
• PyTorch
• TensorFlow
• Hugging Face Transformers
• Python
• Sequential Data
• Time Series
• Natural Language Processing
• Probability
• Statistics
• Data Manipulation

Location

• London, United Kingdom
• Nottingham, United Kingdom

Work Type

• Hybrid
• Permanent

Experience Level

• Senior Associate
• Associate

Benefits

• Access to up to £5,000 in funding for external qualifications
• Competitive pension scheme
• Performance-based bonus schemes
• 25 days of annual leave, increasing with tenure
• Option to buy 5 additional days of leave
• Private medical insurance
• Enhanced parental leave

About the Company

• Our Mission is to be a force for good in lending.
• Recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list.
• We are building a leading information-based technology company.
• Our mission is to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking.

Equal Opportunity

• 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: whoever you are, whatever you look like, wherever you come from.
• We value diversity, inclusion and belonging at our core.
• We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work.
• Capital One is committed to diversity in the workplace.
• If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com