Data Scientist - Risk Modelling

JR United Kingdom; Norwich; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading automotive company in Norwich is seeking a Senior Risk Modeller to enhance their risk management framework. This autonomous role offers significant development opportunities, a competitive pension contribution, and a hybrid work environment with onsite days in London.

Benefits

Pension: 15% contribution

Autonomous role with significant development opportunities

Qualifications

• 3+ years experience in forecasting or data analytics.
• Proven proficiency with statistical software, ideally Python or R.
• Industry knowledge in Automotive, Finance, or Manufacturing sectors highly desirable.

Responsibilities

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

Skills

Statistics

Mathematics

Data Science

Forecasting

Data Analytics

Machine Learning

Predictive Modeling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Tools

Python

R

Job description

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Data Scientist - Risk Modelling, Norwich

Client:

Peaple Talent

Location:

Norwich

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 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 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 establishing a robust 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
• 3+ years experience in forecasting or data analytics
• Proven proficiency with statistical software, ideally Python or R
• Experience with advanced analytical techniques, including machine learning and predictive modeling
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing sectors is highly desirable

What's in it for you:

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