Data Scientist - Risk Modelling

JR United Kingdom; Basingstoke; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading automotive business in the UK seeks a Senior Risk Modeller to enhance their model risk management. This role demands expertise in statistics and data analytics with significant development opportunities and a pension contribution of 15%. Onsite presence is required three days per week in London.

Benefits

Pension: 15% contribution

Autonomous role with significant development opportunities

Qualifications

• At least 3 years experience in forecasting or data analytics.
• Proven experience with statistical software.
• Industry knowledge in Automotive, Finance or Manufacturing preferred.

Responsibilities

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

Skills

Statistics

Mathematics

Economics

Data Science

Machine Learning

Predictive Modeling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Client:

People Talent

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

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 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 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
• 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 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