Data Scientist - Risk Modelling

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

Job summary

A leading automotive business seeks experienced Senior Risk Modellers to enhance their robust model risk management framework. This pivotal role requires a deep understanding of statistics and experience in data analytics. The position offers significant development opportunities and a pension contribution of 15%.

Benefits

Autonomous position with development opportunities

Pension: 15% contribution

Qualifications

• 3+ years of experience in forecasting or data analytics.
• Proven experience with statistical software.
• Industry knowledge in Automotive/Finance/Manufacturing is desired.

Responsibilities

• Deliver a strong model risk management framework.
• Ensure all forecast models are robustly implemented.
• Utilize advanced analytical techniques including predictive modeling.

Skills

Statistics

Mathematics

Data Science

Forecasting

Data Analytics

Machine Learning

Education

Degree in Statistics, Mathematics, Economics, Data Science, or related field

Tools

Python

R

Job description

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Client:

Peaple Talent

Location:

Coventry, 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 a selection of Senior Risk Modellers responsible for delivering a strong model risk management framework and ensuring all forecast models are robustly implemented.

What we're looking for:

• A strong background in Statistics, Mathematics, Economics, Data Science, or a related field
• 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/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