Data Scientist - Model Developer (Underwriting)

Capital One Group; United Kingdom; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension scheme

Bonus

Generous holiday entitlement

Private medical insurance

Season-ticket loans

Cycle to work scheme

Enhanced parental leave

Gym access

Subsidised restaurant

Mindfulness rooms

Job summary

Capital One UK is seeking a Data Scientist - Model Developer / Statistician to join its Nottingham-based Data Science team. The role blends statistical rigor with ML to build underwriting models, using Open Banking or Credit Bureau data where available.

The position is hybrid, 3 days in-office (Tue–Thu) and 2 days remote, in Nottingham. The candidate will design, validate, and maintain models, communicate insights across teams, and contribute to enterprise solutions while pursuing continuous

Qualifications

• Strong grounding in probability and statistics.
• Experience with ML and feature extraction.
• Familiarity with Open Banking or Credit Bureau data.
• Reliability in producing maintainable Python code.
• Knowledge of Model Risk Management and validation practices.
• Ability to communicate findings to a business audience.

Responsibilities

• Develop and maintain the models used by our key underwriting programs.
• Explore and evaluate data using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation.
• Consult on complex statistical test design, to efficiently learn our way into new areas of the market.
• Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth.

Skills

Statistics

Machine Learning

Open Banking data

Credit Bureau data

Python

Model Risk Mgmt

Documentation

Communication

Learning mindset

Job description

Capital One UK is seeking a Data Scientist - Model Developer / Statistician to join its Nottingham-based Data Science team. The role blends statistical rigor with ML to build underwriting models, using Open Banking or Credit Bureau data where available.

The position is hybrid, 3 days in-office (Tue–Thu) and 2 days remote, in Nottingham. The candidate will design, validate, and maintain models, communicate insights across teams, and contribute to enterprise solutions while pursuing continuous