Data Scientist - Risk Modelling

JR United Kingdom; Stockport; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading automotive business in Stockport seeks Senior Risk Modellers to enhance their model risk management framework. Candidates should have a strong analytical background and relevant experience in forecasting. This autonomous role offers significant development opportunities and a competitive pension contribution.

Benefits

Pension: 15% contribution

Significant development opportunities

Qualifications

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

Responsibilities

• Implement a strong model risk management framework.
• Ensure all forecast models are robustly managed.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modeling

Education

Bachelor's degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Client:

People Talent

Location:

Stockport, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

People 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 implementing a strong model risk management framework and ensuring all forecast models are robustly managed.

Requirements:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• At least 3 years of experience in forecasting or data analytics
• Proven experience with statistical software, preferably 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 desirable

Benefits:

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