Data Scientist - Risk Modelling

JR United Kingdom; Liverpool; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading automotive company seeks a Data Scientist specializing in Risk Modelling to implement a comprehensive risk management framework. The ideal candidate has a strong background in Statistics or Data Science, with at least three years of experience in forecasting. This opportunity comes with significant development prospects and a supportive team environment.

Benefits

Pension with 15% contribution

Autonomous role with significant development opportunities

Qualifications

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

Responsibilities

• Implement a robust model risk management framework.
• Ensure forecast models are reliable.

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

Social network you want to login/join with:

Data Scientist - Risk Modelling, Liverpool

Client:

Peaple Talent

Location:

Liverpool, 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, 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 forecast models are reliable.

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

What's in it for you:

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