Data Scientist - Risk Modelling

JR United Kingdom; Birmingham; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading automotive business is seeking a Senior Risk Modeller to enhance their model risk management framework. With a strong emphasis on analytics and statistics, candidates should bring 3+ years of experience and proficiency in statistical software. The role offers significant development opportunities and a competitive pension contribution.

Benefits

Pension: 15% contribution

Autonomous role with significant development opportunities

Qualifications

• 3+ years of experience in forecasting or data analytics.
• Proven experience with statistical software (Python or R).
• Industry knowledge in Automotive, Finance, or Manufacturing preferred.

Responsibilities

• Deliver a strong model risk management framework.
• Ensure all forecast models are robustly implemented.

Skills

Statistics

Mathematics

Data Science

Forecasting

Data Analytics

Machine Learning

Predictive Modelling

Python

R

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Job description

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Client:

Peaple Talent

Location:

Birmingham, 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 uniquely provides comprehensive insurance as part of the lease costs. With over 815,000 scheme customers, this is the largest motor fleet policy in the UK.

We are seeking 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 related fields
• 3+ years 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 desired

What's in it for you:

Location: London (3 days onsite)

Pension: 15% contribution

Autonomous role with significant development opportunities