Data Scientist - Risk Modelling

JR United Kingdom; Swindon; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading automotive company is seeking a Data Scientist specializing in Risk Modelling located in Swindon. The role involves developing a model risk management framework and validating forecast models. Ideal candidates will have a strong statistical background and proven experience in data analytics, preferably within the automotive or finance sectors.

Benefits

Pension: 15% contribution

Autonomous role with development opportunities

Qualifications

• 3+ years experience in forecasting or data analytics.
• Proven experience with statistical software.
• Industry knowledge in Automotive, Finance, or Manufacturing sectors is a plus.

Responsibilities

• Implement robust model risk management framework.
• Validate forecast models effectively.
• Work onsite in London 3 days a week.

Skills

Statistics

Mathematics

Data Science

Data Analytics

Machine Learning

Predictive Modelling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Swindon, Wiltshire

Client: Peaple Talent

Location: Swindon, Wiltshire, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views: 2

Posted: 04.06.2025

Expiry Date: 19.07.2025

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 related fields
• 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 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