Data Scientist: Model Developer & Statistician | Hybrid

Capital One; Loughborough; Hybrid; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Pension scheme

Bonus

Private medical insurance

Cycle to work

Season-ticket loans

Parental leave

Job summary

Capital One is seeking a Data Scientist - Model Developer / Statistician to join its Nottingham team. The role focuses on developing and maintaining models used in underwriting, with emphasis on statistics, feature extraction and model risk management.

Hybrid work arrangement: 3 in-office days (Tue–Thu) and 2 remote days. The successful candidate will work with Open Banking or Credit Bureau data, write robust Python code, and translate complex findings for business stakeholders.

Qualifications

• Strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation.
• Familiarity with Open Banking or Credit Bureau data.
• Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
• Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring.
• Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value.
• Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.
• A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.

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

ML

Open Banking

Python

Model Risk

Data storytelling

Job description

Capital One is seeking a Data Scientist - Model Developer / Statistician to join its Nottingham team. The role focuses on developing and maintaining models used in underwriting, with emphasis on statistics, feature extraction and model risk management.

Hybrid work arrangement: 3 in-office days (Tue–Thu) and 2 remote days. The successful candidate will work with Open Banking or Credit Bureau data, write robust Python code, and translate complex findings for business stakeholders.