Data Scientist - Risk Modelling

JR United Kingdom; Nottingham; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading automotive company in the UK seeks a Senior Risk Modeller to enhance its risk management framework. This position requires a strong analytical background and offers opportunities for significant professional development. The role involves forecasting and leveraging advanced analytical techniques to optimize business performance.

Benefits

Pension: 15% contribution

Autonomous position

Significant development opportunities

Qualifications

• 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.

Responsibilities

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

Skills

Statistical Software

Machine Learning

Predictive Modeling

Data Analytics

Education

Strong background in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Client:

People Talent

Location:

Nottingham, United Kingdom

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 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 delivering 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
• At least 3 years of experience in forecasting or data analytics
• Proven experience with statistical software, preferably in 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

An autonomous position with significant development opportunities