Data Scientist - Risk Modelling

JR United Kingdom; Sheffield; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading automotive business in the UK is seeking a Senior Risk Modeller to join their team in Sheffield. This role involves establishing a robust model risk management framework and leveraging advanced analytical techniques for forecasting and predictive modelling. Candidates should have a strong background in Statistics, Mathematics, or Data Science, with proven experience in Python or R. The position offers significant development opportunities and a pension contribution of 15%.

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 in Automotive, Finance, or Manufacturing is highly desirable.

Responsibilities

• Establish a robust model risk management framework.
• Ensure all forecast models are effectively implemented.

Skills

Statistics

Mathematics

Economics

Data Science

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, Sheffield, South Yorkshire

Client: Peaple Talent

Location: Sheffield, South Yorkshire, United Kingdom

Job Category: Other

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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 customer mobility. They are the UK’s largest car leasing company, serving over 750,000 customers.

The company uniquely 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 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 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 in Automotive, Finance, or Manufacturing is highly desirable

What's in it for you:

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