Data Scientist - Risk Modelling

JR United Kingdom; High Wycombe; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading automotive company in High Wycombe seeks a Data Scientist specializing in risk modelling. In this role, you will deliver a comprehensive risk management framework and implement robust forecasting models. You will work in a collaborative environment, benefiting from significant opportunities for professional development.

Benefits

Pension: 15% contribution

Autonomous role with development opportunities

Qualifications

• 3+ years of experience in forecasting or data analytics.
• Proven experience with statistical software.
• Industry knowledge in Automotive, Finance, or Manufacturing preferred.

Responsibilities

• Deliver a risk management framework and implement forecast models.
• Utilize advanced analytical techniques for data-driven decisions.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modelling

Education

Degree in Statistics, Mathematics, Economics, or related fields

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, High Wycombe

Client:

Peaple Talent

Location:

High Wycombe, United Kingdom

Job Category:

Other

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.

The company provides 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 strong risk management framework and ensuring forecast models are robustly implemented.

Requirements:

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

Benefits:

• Location: London (3 days onsite per week)
• Pension: 15% contribution
• Autonomous role with significant development opportunities