Data Scientist - Risk Modelling

JR United Kingdom; Crawley; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A leading automotive business is seeking a Senior Data Scientist specializing in Risk Modelling to deliver a robust risk management framework. This position offers significant development opportunities with a flexible location in London and a pension contribution of 15%. Candidates should have a strong background in statistics or data science, with advanced skills in Python or R.

Benefits

Pension: 15% contribution

Autonomous position with significant development opportunities

Qualifications

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

Responsibilities

• Responsible for delivering a robust risk management framework.
• Ensure all forecast models are effectively implemented.

Skills

Statistics

Mathematics

Data Science

Forecasting

Data Analytics

Machine Learning

Predictive Modeling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Crawley, West Sussex

Client: Peaple Talent

Location:

Crawley, West Sussex, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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.

The company offers comprehensive insurance as part of the lease costs. With over 815,000 scheme customers, it holds the largest motor fleet policy in the UK.

We are seeking Senior Risk Modellers responsible for delivering a robust 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 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 modeling
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desired

What's in it for you:

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