Hybrid Lead Data Scientist – Deep Learning Practitioner

at Capital One

• Job title: Lead Data Scientist – Deep Learning Practitioner
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Nottingham, United Kingdom

About the role

• Lead Data Scientist developing proprietary deep learning models to solve critical underwriting challenges. Collaborating with business partners to create advanced servicing products using Large Language Models.

Responsibilities

• Lead the development of 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.
• Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production.
• 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.

Requirements

• Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
• A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team.
• Experience producing and managing reliable and maintainable code in 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.
• 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.
• A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value

Benefits

• 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 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. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café