Data Scientist - Risk Modelling

JR United Kingdom; Southampton; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading automotive company seeks a Senior Risk Modeller to enhance their risk management framework. The candidate will leverage their expertise in statistics, mathematics, and data science to implement robust forecasting models. This role offers autonomy and significant development opportunities.

Benefits

Pension: 15% contribution

Significant development opportunities

Qualifications

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

Responsibilities

• Deliver a strong model risk management framework.
• Ensure all forecast models are robustly implemented.

Skills

Statistics

Mathematics

Data Science

Forecasting

Data Analytics

Machine Learning

Predictive Modelling

Education

Degree in Statistics, Mathematics, Economics, Data Science, or a related field

Tools

Python

R

Job description

Social network you want to login/join with:

Data Scientist - Risk Modelling, Southampton

Client:

Peaple Talent

Location:

Southampton, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

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 have the largest motor fleet policy in the UK.

We are seeking Senior Risk Modellers responsible for delivering a strong model risk management framework and ensuring all forecast models are robustly implemented.

What we're looking for:

• A strong background in Statistics, Mathematics, Economics, Data Science, or a related field
• 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/Manufacturing is highly desired

What's in it for you:

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