Data Scientist - Risk Modelling

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

Job summary

A leading automotive business in Wolverhampton is seeking a Senior Data Scientist - Risk Modelling to improve customers' mobility through advanced analytics and predictive modelling. The role requires strong statistical and data science skills along with experience in forecasting and a background in the automotive or finance sectors, offering an autonomous work environment with significant development opportunities.

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, ideally Python or R.
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing sectors is highly desired.

Responsibilities

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

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modelling

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Wolverhampton

Client:

Peaple Talent

Location:

Wolverhampton, UK

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.

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 robust model 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 related fields
• 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 sectors is highly desired

What's in it for you:

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