Data Scientist - Risk Modelling

JR United Kingdom; Luton; On-site; GBP 55,000 - 85,000; Full time

Job summary

A leading automotive business based in Luton, UK, seeks a Senior Risk Modeller for its expanding team. The role requires expertise in statistical analysis and data analytics to deliver a strong model risk management framework. This position offers significant development opportunities in an autonomous environment.

Benefits

15% pension contribution

Autonomous role with significant development opportunities

Qualifications

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

Responsibilities

• Delivering a robust model risk management framework.
• Ensuring all forecast models are effectively implemented.

Skills

Statistical analysis

Data analytics

Machine learning

Predictive modelling

Education

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

Tools

Python

R

Job description

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Client:

Peaple Talent

Location:

Luton, Bedfordshire, 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.

The company provides 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 delivering a robust model risk management framework and ensuring all forecast models are effectively implemented.

Requirements:

• 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 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 desired

Benefits:

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