Data Scientist - Risk Modelling

JR United Kingdom; Cheltenham; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading automotive company seeks a Senior Risk Modeller to develop a robust model risk management framework and maintain forecast model integrity. This position requires a strong background in statistics or data science coupled with advanced experience in analytics. The role offers significant development opportunities, autonomy, and a pension contribution.

Benefits

15% pension contribution

Autonomous position with development opportunities

Qualifications

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

Responsibilities

• Implement a robust model risk management framework.
• Ensure the integrity of forecast models.

Skills

Statistical Analysis

Data Analytics

Machine Learning

Predictive Modelling

Economics

Mathematics

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Client:

Peaple Talent

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Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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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.

Their unique offering includes comprehensive insurance as part of the lease costs. With over 815,000 scheme customers, they hold 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 the integrity of forecast models.

What we're looking for:

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

What's in it for you:

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