Data Scientist - Risk Modelling

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

Job summary

A leading automotive business seeks a Data Scientist specializing in Risk Modelling for their Peterborough office. In this role, you'll establish a robust risk management framework and implement forecast models. Candidates must have a strong background in statistics and at least 3 years of experience in data analytics, particularly within the automotive, finance, or manufacturing sectors. Enjoy an autonomous role with significant development opportunities, including a generous pension contribution.

Benefits

Pension: 15% contribution

Significant development opportunities

Qualifications

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

Responsibilities

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

Skills

Statistics

Mathematics

Data Science

Forecasting

Data Analytics

Machine Learning

Predictive Modelling

Education

Degree in Statistics, Mathematics, Economics, or related fields

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Peterborough

Client:

Peaple Talent

Location:

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

What's in it for you:

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