Data Scientist - Risk Modelling

JR United Kingdom; Maidstone; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading automotive business in the UK is seeking a Senior Risk Modeller to implement a robust model risk management framework. The role requires strong expertise in statistical analysis and at least three years in forecasting or data analytics, with a focus on the automotive, finance, or manufacturing sectors. This autonomous position offers significant development opportunities and a competitive benefits package.

Benefits

15% pension contribution

Autonomous role with development opportunities

Qualifications

• At least 3 years of experience in forecasting or data analytics.
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing sectors is desirable.

Responsibilities

• Implement a strong model risk management framework.
• Ensure all forecast models are robustly executed.

Skills

Statistical analysis

Data analytics

Machine learning

Predictive modeling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Peaple Talent

Location:

Maidstone, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

col-wide

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.

My client is unique in providing comprehensive insurance as part of the overall 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 implementing a strong model risk management framework and ensuring all forecast models are robustly executed.

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, 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