Data Scientist - Risk Modelling

JR United Kingdom; Dartford; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading automotive business in Dartford seeks a Senior Risk Modeller to enhance their risk management framework and implement forecast models. This role offers significant development opportunities and a competitive pension contribution while promoting an autonomous work environment with hybrid flexibility.

Benefits

Pension: 15% contribution

Significant development opportunities

Autonomous position

Qualifications

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

Responsibilities

• Delivering a robust risk management framework.
• Ensuring all forecast models are effectively implemented.

Skills

Statistics

Mathematics

Economics

Data Science

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:

col-narrow-left

Client:

Peaple Talent

Location:

dartford, 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.

Their unique offering includes 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 now seeking Senior Risk Modellers responsible for delivering a robust risk management framework and ensuring all forecast models are effectively implemented.

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 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 position with significant development opportunities