Hybrid Lead Data Scientist: Deep Learning for Underwriting

Capital One (Europe) plc; Nottingham; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Pension scheme

Bonus

Generous holiday entitlement

Private medical insurance

Flexible benefits

On-site gym

Restaurant on-site

Mindfulness room

Music room

Job summary

Capital One Europe is seeking a Lead Data Scientist / Deep Learning Practitioner to lead the development of proprietary deep learning models for underwriting. You will drive the use of multi‑modal data and advanced neural networks to improve predictive power and deliver actionable customer insights.

You will collaborate with business partners, mentor junior team members, and ensure production‑grade code and robust experimentation.

Qualifications

• Experience building and deploying deep learning models for sequential data.
• Strong coding practices in Python/SQL with maintainable production-ready code.
• Experience with PyTorch, TensorFlow or Transformers frameworks.

Responsibilities

• Lead development of next‑gen deep learning approaches for underwriting models.
• Build and deploy neural networks on multi‑modal data.
• Collaborate with stakeholders to prioritize initiatives and drive prototypes to production.
• Write clean, scalable code and contribute to code reviews and best practices.

Skills

Deep learning

Sequential data

PyTorch

TensorFlow

Hugging Face Transformers

SQL

Python

Time series

Language models

Project management

Mentoring

Code reviews

Job description

Capital One Europe is seeking a Lead Data Scientist / Deep Learning Practitioner to lead the development of proprietary deep learning models for underwriting. You will drive the use of multi‑modal data and advanced neural networks to improve predictive power and deliver actionable customer insights.

You will collaborate with business partners, mentor junior team members, and ensure production‑grade code and robust experimentation.