Data Scientist - Risk Modelling

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

Job summary

A leading automotive company in Shrewsbury is seeking Senior Risk Modellers to enhance their model risk management framework. Candidates should have a solid background in Statistics, Mathematics, or Data Science, with proven experience in forecasting and data analytics. The role offers competitive pay, development opportunities, and a hybrid work model with three days onsite.

Benefits

Pension: 15% contribution

Autonomous position with significant development opportunities

Qualifications

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

Responsibilities

• Establish a model risk management framework.
• Ensure robustness of all forecast models.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modeling

Education

Bachelor's or Master's degree in Statistics, Mathematics, Economics, or related field

Tools

Python

R

Job description

Client:

Peaple Talent

Location:

Shrewsbury, 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 customer 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 a selection of Senior Risk Modellers responsible for establishing a strong model risk management framework and ensuring the robustness of all forecast models.

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

What's in it for you:

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