Data Scientist - Risk Modelling

JR United Kingdom; Bradford; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading automotive business in Bradford seeks Senior Risk Modellers to drive effective model risk management and ensure forecast models are validated. Ideal candidates will possess a strong background in relevant fields and at least 3 years of applicable experience. This role offers an opportunity for substantial professional growth within the UK's largest car leasing company.

Benefits

Pension contribution: 15%

Autonomous role with significant development opportunities

Qualifications

• Strong background in Statistics, Mathematics, Economics, or Data Science.
• At least 3 years of experience in forecasting or data analytics.
• Proven experience with statistical software, preferably Python or R.

Responsibilities

• Implement a robust model risk management framework.
• Ensure all forecast models are effectively validated.

Skills

Statistics

Mathematics

Economics

Data Science

Statistical software

Machine learning

Predictive modeling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

Client:

Peaple Talent

Location:

Bradford, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

Peaple Talent has partnered with a leading automotive business that delivers smart & sustainable solutions to improve customer mobility. They are the UK’s largest car leasing company, helping over 750,000 people get on the road.

They uniquely provide comprehensive insurance as part of the lease costs, with over 815,000 scheme customers, making it the largest motor fleet policy in the UK.

We are seeking Senior Risk Modellers responsible for implementing a robust model risk management framework and ensuring all forecast models are effectively validated.

Requirements:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• At least 3 years of experience in forecasting or data analytics
• Proven experience with statistical software, preferably Python or R
• Experience with advanced analytical techniques, including machine learning and predictive modeling
• Industry knowledge in Automotive, Finance, or Manufacturing is highly desirable

Benefits:

• Location: London (3 days onsite per week)
• Pension contribution: 15%
• Autonomous role with significant development opportunities