Data Scientist - Risk Modelling

JR United Kingdom; Telford; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading automotive business in the UK, focusing on sustainable mobility solutions, seeks a Senior Risk Modeller. This role involves developing and maintaining a model risk management framework to ensure the reliability of forecasting models. Applicants should possess strong analytical skills, with an emphasis on statistics and data science, and have experience in the related industry.

Benefits

15% pension contribution

Autonomous role with significant development opportunities

Qualifications

• 3+ years experience in forecasting or data analytics.
• Proficiency with statistical software, ideally Python or R.
• Industry knowledge of forecasting in automotive, finance, or manufacturing is highly desirable.

Responsibilities

• Implement robust model risk management framework.
• Ensure forecast models are reliable.

Skills

Statistics

Data Science

Mathematics

Forecasting

Machine Learning

Predictive Modelling

Python

R

Education

Degree in Statistics, Mathematics, Economics, or related fields

Job description

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Client:

Peaple Talent

Location:

Telford, United Kingdom

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.

They uniquely provide 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 forecast models are reliable.

Requirements:

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

Benefits:

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