Data Scientist - Risk Modelling

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

Job summary

A leading automotive company in the UK seeks Senior Risk Modellers to enhance their forecasting models and risk management practices. This role offers significant autonomy and professional growth opportunities, with a competitive pension contribution and a flexible work location. Ideal candidates have strong analytical backgrounds and experience in data science, preferably in the automotive or finance industries.

Benefits

15% pension contribution

Significant development opportunities

Qualifications

• Background in Statistics, Mathematics, Economics, Data Science or related fields.
• At least 3 years of experience in forecasting or data analytics.
• Proven expertise with statistical software, preferably Python or R.

Responsibilities

• Responsible for implementing a model risk management framework.
• Ensure all forecast models are reliable.

Skills

Statistics

Mathematics

Data Science

Economics

Machine Learning

Predictive Modeling

Tools

Python

R

Job description

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Client:

People Talent

Location:

Lincoln, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

People Talent has partnered with a leading automotive business that delivers smart & sustainable solutions to improve customer mobility. They are the UK’s largest car leasing company, helping over 750,000 people get on the road.

The company uniquely provides comprehensive insurance as part of the lease costs. With over 815,000 scheme customers, it holds 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 reliable.

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 on-site per week)
• Pension: 15% contribution
• Autonomous role with significant development opportunities