Data Scientist - Risk Modelling

JR United Kingdom; Stoke-on-Trent; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading automotive company in the UK is seeking Senior Risk Modellers to enhance their model risk management framework. Successful candidates will have strong backgrounds in statistics or data science, providing insights that support the company’s mission to deliver smart solutions for mobility. The role offers significant development opportunities and requires onsite collaboration in London three days a week.

Benefits

Pension: 15% contribution

Autonomous position with significant development opportunities

Qualifications

• 3+ years of experience in forecasting or data analytics required.
• Proven experience with statistical software, ideally in Python or R.
• Industry knowledge in Automotive, Finance, or Manufacturing is highly desired.

Responsibilities

• Deliver a robust model risk management framework.
• Ensure effective implementation of all forecast models.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modeling

Education

Degree in Statistics, Mathematics, Economics, or related fields

Tools

Python

R

Job description

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Client:

Peaple Talent

Location:

Stoke-on-Trent, 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 customers’ mobility. They are the UK’s largest car leasing company, helping over 750,000 people get on the road.

My client is unique in providing comprehensive insurance as part of the overall lease costs. With over 815,000 scheme customers, this is the largest motor fleet policy in the UK.

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

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 in Python or R
• Experience with advanced analytical techniques, including machine learning and predictive modeling
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desired

What's in it for you:

Location: London (3 days onsite per week)

Pension: 15% contribution

Autonomous position with significant development opportunities