Data Scientist - Risk Modelling

JR United Kingdom; Hounslow; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading automotive company in the UK is seeking a Senior Risk Modeller in London to enhance their model risk management. The role requires a strong analytical background and offers substantial development opportunities within a dynamic work environment focused on sustainable solutions.

Benefits

Pension contribution: 15%

Autonomous role with significant development opportunities

Qualifications

• A 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 like Python or R.

Responsibilities

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

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modelling

Tools

Python

R

Job description

Social network you want to login/join with:

Data Scientist - Risk Modelling, south west london

Client:

Peaple Talent

Location:

south west london, 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 and 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 the lease costs. With over 815,000 scheme customers, they manage the largest motor fleet policy in the UK.

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

Key requirements include:

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

Benefits include:

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