Data Scientist - Risk Modelling

JR United Kingdom; Northampton; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Join a leading automotive business in Northampton as a Data Scientist focused on Risk Modelling. This role involves developing and managing a robust model risk management framework and requires a strong background in statistics and data science. Enjoy a £15 pension contribution and significant opportunities for autonomous role development while working primarily onsite in London three days a week.

Benefits

15% Pension Contribution

Autonomous role with development opportunities

Qualifications

• At least 3 years of experience in forecasting or data analytics.
• Proven experience with statistical software.
• Experience with machine learning and predictive modelling.

Responsibilities

• Implementing a robust model risk management framework.
• Ensuring effective management of all forecast models.

Skills

Statistics

Mathematics

Data Science

Education

Degree in Statistics, Mathematics, Economics, or related fields

Tools

Python

R

Job description

Social network you want to login/join with:

Data Scientist - Risk Modelling, Northampton

Client:

Peaple Talent

Location:

Northampton, 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.

Their unique offering includes comprehensive insurance as part of 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 all forecast models are effectively managed.

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 modelling
• Industry knowledge in Automotive, Finance, or Manufacturing 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