Data Scientist - Risk Modelling

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

Job summary

A leading automotive company in Brighton is seeking a Senior Risk Modeller to enhance their model risk management framework. The role requires strong analytical skills, experience in data analytics, and the ability to work with statistical software like Python or R. This position offers significant development opportunities and a pension contribution of 15%.

Benefits

15% pension contribution

Autonomous role with significant development opportunities

Qualifications

• At least 3 years of experience in forecasting or data analytics.
• Proven experience with statistical software, preferably Python or R.
• Industry knowledge in Automotive, Finance, or Manufacturing sectors is desirable.

Responsibilities

• Implementing a robust model risk management framework.
• Ensuring all forecast models are effectively validated.

Skills

Statistics

Mathematics

Data Science

Data Analytics

Machine Learning

Predictive Modelling

Education

Degree in Statistics, Mathematics, Economics, or related field

Tools

Python

R

Job description

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Client:

Peaple Talent

Location:

Brighton, 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 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 robust model risk management framework and ensuring all forecast models are effectively validated.

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 Python or R
• Experience with advanced analytical techniques, including machine learning and predictive modelling
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing sectors 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