Data Scientist - Risk Modelling

JR United Kingdom; City Of London; On-site; GBP 55,000 - 85,000; Full time

Job summary

A leading automotive business is seeking a Senior Risk Modeller to enhance their risk management framework and implement forecasting models in London. The ideal candidate will have a strong background in Statistics and experience with analytical techniques, contributing to a robust automotive finance strategy.

Benefits

15% pension contribution

Autonomous position with significant development opportunities

Qualifications

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

Responsibilities

• Establishing a strong risk management framework.
• Ensuring robust implementation of forecast models.

Skills

Statistical analysis

Data analytics

Machine learning

Predictive modelling

Education

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

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, London (City of London)

Client:

Peaple Talent

Location:

London (City of London), United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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.

Their unique offering includes 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 establishing a strong risk management framework and ensuring robust implementation of forecast models.

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 modelling
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desirable

What's in it for you:

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