Data Scientist: Model Dev & Underwriting (Hybrid)

Capital One; Bracebridge; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension scheme

Bonus

Generous holiday entitlement

Private medical insurance

Cycle to work scheme

Enhanced parental leave

Job summary

Capital One is hiring a Data Scientist - Model Developer / Statistician in Nottingham. The role focuses on developing underwriting models, exploring data with advanced feature techniques, and applying statistical design to expand market capabilities.

You will work in a hybrid, in-office setting with three days on-site and two remote days. You will leverage strong statistics, ML, and Python skills to deliver reliable, scalable models, while maintaining rigorous Model Risk Management and clear

Qualifications

• Strong grounding in probability and statistics.
• Experience with statistical test design and validation.
• Experience with Model Risk Management practices.
• Experience with Open Banking or Credit Bureau data.
• Ability to write reliable, maintainable Python code.
• Ability to communicate findings to a business audience.

Responsibilities

• Develop and maintain models used in underwriting programs.
• Explore and evaluate data using advanced feature generation and categorisation techniques.
• Consult on complex statistical test design for new market areas.
• Use coding and statistical skills to navigate large data and extract actionable solutions.

Skills

Statistics

Machine learning

Feature extraction

Large data handling

Open Banking data

Credit Bureau data

Python

Model Risk Management

Communication

Curiosity

Tools

Python

Job description

Capital One is hiring a Data Scientist - Model Developer / Statistician in Nottingham. The role focuses on developing underwriting models, exploring data with advanced feature techniques, and applying statistical design to expand market capabilities.

You will work in a hybrid, in-office setting with three days on-site and two remote days. You will leverage strong statistics, ML, and Python skills to deliver reliable, scalable models, while maintaining rigorous Model Risk Management and clear