Data Scientist - Risk Modelling

JR United Kingdom; Milton Keynes; On-site; GBP 55,000 - 80,000; Full time

Job summary

Une entreprise automobile de premier plan, offrant des solutions durables pour améliorer la mobilité des clients, recherche des Senior Risk Modellers. Ce rôle implique la mise en place d'un cadre de gestion des risques et la validation des modèles prévisionnels, avec des opportunités de développement significatif dans un poste autonome à Londres.

Benefits

Pension contribution: 15%

Opportunités de développement significatif

Qualifications

• Minimum 3 years d'expérience en prévisions ou analyse de données.
• Solide bagage en statistiques ou mathématiques.
• Connaissance du secteur automobile ou financier est un atout.

Responsibilities

• Mettre en œuvre un cadre robuste de gestion des risques.
• Validator tous les modèles prévisionnels efficacement.

Skills

Statistics

Mathematics

Data Science

Machine Learning

Predictive Modeling

Tools

Python

R

Job description

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Client:

Peaple Talent

Location:

London, UK

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:

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, serving over 750,000 customers.

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 effectively validated.

Requirements:

• A strong background in Statistics, Mathematics, Economics, Data Science, or related fields
• At least 3 years of experience in forecasting or data analytics
• Proficiency 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

Benefits:

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