Data Scientist - Risk Modelling

JR United Kingdom; Watford; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading automotive business in the UK is seeking a Senior Risk Modeller for its Watford location. This role focuses on establishing a robust model risk management framework and implementing forecasting models effectively. Candidates should possess a strong background in Statistics and at least 3 years of experience in data analytics, preferably in the automotive industry.

Benefits

Pension contribution: 15%

Significant development opportunities

Qualifications

• Strong background in Statistics, Mathematics, or related fields.
• At least 3 years of experience in forecasting or data analytics.
• Proven experience with statistical software.

Responsibilities

• Establish a robust model risk management framework.
• Ensure all forecast models are effectively implemented.
• Work with advanced analytical techniques.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modeling

Education

Degree in Statistics, Mathematics, Economics, Data Science or related fields

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Watford, Hertfordshire

Client:

Peaple Talent

Location:

Watford, Hertfordshire, 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 & 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 seeking Senior Risk Modellers responsible for establishing a robust model 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
• 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 onsite per week)
• Pension contribution: 15%
• Autonomous role with significant development opportunities