Data Scientist - Risk Modelling

JR United Kingdom; Leicester; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading automotive business in the UK seeks a Senior Risk Modeller to enhance model risk management frameworks and ensure the reliability of forecasting models. Candidates should have a strong background in statistics or data science and at least three years of analytics experience. The role offers autonomy and significant development opportunities, with a competitive pension contribution.

Benefits

Pension contribution: 15%

Autonomous role with significant development opportunities

Qualifications

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

Responsibilities

• Implement robust model risk management framework.
• Ensure forecast models are reliable.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modeling

Tools

Python

R

Job description

Social network you want to login/join with:

col-narrow-left

Client:

People Talent

Location:

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:

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.

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 implementing a robust model risk management framework and ensuring forecast models are reliable.

Requirements:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• At least 3 years of experience in forecasting or data analytics
• Experience with statistical software, preferably Python or R
• Expertise in advanced analytical techniques, including machine learning and predictive modeling
• Industry knowledge in automotive, finance, or manufacturing is highly desirable

Benefits:

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