Data Scientist - Risk Modelling

JR United Kingdom; Portsmouth; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading automotive business in the UK is seeking a Senior Risk Modeller to enhance their model risk management. This role requires a strong background in statistics and data analytics with a focus on forecasting models. You'll enjoy an autonomous position with significant development opportunities and a pension contribution of 15%. The role is based in London with a hybrid model of 3 days onsite per week.

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.
• 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

Forecasting

Data Analytics

Machine Learning

Predictive Modeling

Education

Degree in Statistics, Mathematics, Economics, Data Science, or a related field

Tools

Python

R

Job description

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Client:

Peaple Talent

Location:

Portsmouth, Hampshire, 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:

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

What's in it for you:

• Location: London (3 days onsite per week)
• Pension: 15% contribution
• An autonomous position with significant development opportunities