Senior Data Scientist

JR United Kingdom; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading automotive company in London is seeking a Senior Data Scientist to enhance their model risk management framework. The role requires a solid academic background in relevant fields and experience in risk modeling, with proficiency in Python or R being essential. The position offers a high-autonomy environment with potential for growth and up to 15% pension contribution.

Benefits

Pension up to 15% contribution

High-autonomy role with strong progression potential

Qualifications

• Several years of experience in Risk Modelling, Credit Risk, Risk Management.
• Proficiency in statistical tools, preferably Python or R.
• Practical exposure to machine learning and predictive modelling.

Responsibilities

• Strengthening the model risk management framework.
• Ensuring accurate implementation of all forecast models.

Skills

Solid academic background in Statistics

Experience in Risk Modelling

Proficiency in Python or R

Exposure to machine learning

Industry experience in Automotive, Finance, or Manufacturing

Education

Degree in Statistics, Mathematics, Economics, Data Science

Job description

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Senior Data Scientist, london (city of london)

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Client:

Peaple Talent

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

22.08.2025

Expiry Date:

06.10.2025

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Job Description:

Peaple Talent is working in partnership with a top-tier Automotive company focused on delivering innovative and sustainable mobility solutions. As the UK’s largest car leasing provider, they currently support over 750,000 drivers.

What sets this client apart is their inclusion of full insurance coverage within lease agreements. With more than 815,000 Scheme Customers, they manage the UK’s largest motor fleet insurance policy.

We’re now looking to onboard several Senior Data Scientists. These individuals will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models.

What we're looking for:

• Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline
• A number of years experience in Risk Modelling, Credit Risk, Risk Management
• Proficiency in statistical tools, preferably Python or R
• Practical exposure to machine learning, predictive modelling, and advanced analytics techniques
• Industry experience in Automotive, Finance, or Manufacturing is highly desirable

What’s in it for you:

? Pension: Up to 15% contribution

? High-autonomy role with strong progression potential