Data Scientist - Risk Modelling

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

Job summary

A leading automotive business in the UK seeks a Data Scientist specializing in Risk Modelling. This role involves delivering robust risk management frameworks and implementing forecast models. Candidates should have a strong background in statistics, machine learning, and significant experience in data analytics, ideally within the automotive or finance sectors.

Benefits

Pension contribution: 15%

Autonomous role with significant development opportunities

Qualifications

• Strong background in Statistics, Mathematics, Economics or Data Science.
• At least 3 years of experience in forecasting or data analytics.
• Proven experience with statistical software, ideally Python or R.

Responsibilities

• Deliver a robust risk management framework.
• Ensure forecast models are effectively implemented.
• Use advanced analytical techniques.

Skills

Statistics

Mathematics

Economics

Data Science

Machine Learning

Predictive Modeling

Education

Bachelor's or Master's in Statistics, Mathematics, Economics, Data Science or related fields

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Preston, Lancashire

Client:

Peaple Talent

Location:

Preston, Lancashire, 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 customers’ 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, it has the largest motor fleet policy in the UK.

We are seeking Senior Risk Modellers responsible for delivering a robust risk management framework and ensuring forecast models are effectively implemented.

What we're looking for:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• At least 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 modeling
• Industry knowledge in Automotive, Finance, or Manufacturing is highly desirable

What's in it for you:

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