Data Scientist - Risk Modelling

JR United Kingdom; Chesterfield; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading automotive company seeks a Senior Risk Modeller in Chesterfield to manage model risk and forecasts in the automotive sector. Successful candidates will have strong analytical backgrounds and experience in Python or R, with attractive opportunities for growth and a generous pension contribution.

Benefits

15% pension contribution

Autonomous position with 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 desirable.

Responsibilities

• Implement a robust model risk management framework.
• Ensure all forecast models are effectively managed.

Skills

Statistics

Mathematics

Economics

Data Science

Machine Learning

Predictive Modeling

Python

R

Data Analytics

Education

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

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Peaple Talent

Location:

Chesterfield, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

col-wide

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.

My client is unique in providing comprehensive insurance as part of the lease costs. With over 815,000 scheme customers, it has the largest motor fleet policy in the UK.

We are seeking Senior Risk Modellers responsible for implementing a robust model risk management framework and ensuring all forecast models are effectively managed.

What we're looking for:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• 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, or 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