Lead Deep Learning Scientist for Underwriting & LLMs

Capital One; Nottingham; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A banking and financial services company is seeking a Lead Data Scientist to develop innovative deep learning approaches for underwriting models. This role involves collaboration with tech and product partners, applying advanced techniques to enhance lending solutions. Ideal candidates will have extensive experience in deep learning, Python programming, and team leadership. The position offers a hybrid working model based in Nottingham or London, with a strong focus on diversity and inclusive team-building.

Benefits

Generous holiday entitlement

Private medical insurance

Pension scheme

Gym and wellness facilities

Qualifications

• Strong experience in developing deep learning models for sequential data.
• Proven track record in leading model development and project management.
• Hands-on experience with Machine/Deep Learning frameworks.

Responsibilities

• Lead development of deep learning approaches for underwriting models.
• Provide consultancy to tech and product partners for LLM-powered products.
• Work on projects supporting key business initiatives and growth.

Skills

Deep learning model development

Python programming

Statistical analysis

Team leadership

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Job description

A banking and financial services company is seeking a Lead Data Scientist to develop innovative deep learning approaches for underwriting models. This role involves collaboration with tech and product partners, applying advanced techniques to enhance lending solutions. Ideal candidates will have extensive experience in deep learning, Python programming, and team leadership. The position offers a hybrid working model based in Nottingham or London, with a strong focus on diversity and inclusive team-building.