Data Scientist - Risk Modelling

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

Job summary

A leading automotive business in the UK is seeking Senior Risk Modellers to implement a robust model risk management framework. The role offers autonomy and significant development opportunities in a dynamic environment. Ideal candidates will have a strong statistical background and experience in predictive modelling, preferably in Automotive, Finance, or Manufacturing.

Benefits

Pension: 15% contribution

Autonomous role with significant development opportunities

Qualifications

• Strong background in Statistics, Mathematics, Economics, or related fields.
• At least 3 years experience in forecasting or data analytics.
• Proven skills with statistical software.

Responsibilities

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

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modelling

Tools

Python

R

Job description

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Client:

Peaple Talent

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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:

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, helping over 750,000 people get on the road.

Their unique offering includes comprehensive insurance as part of 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 applied.

Requirements:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• At least 3 years experience in forecasting or data analytics
• Proven skills with statistical software, preferably Python or R
• Experience with advanced analytical techniques including machine learning and predictive modelling
• Industry knowledge 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