Senior Data Scientist

Rise Technical Recruitment Limited; City Of London; Hybrid; GBP 85,000 - 90,000; Full time

Job summary

A leading recruitment agency is seeking a Senior Data Scientist to join a market-leading organisation in London. This role involves developing and enhancing forecasting and pricing models, with a strong emphasis on model risk management. The ideal candidate will have a solid background in Python or R and experience in financial risk or insurance. The position offers a competitive salary, hybrid working, and excellent benefits.

Benefits

Bonus

Great Pension

Private Healthcare

28 days Holiday

Hybrid Working

Qualifications

• Proven experience as a Senior Data Scientist or Risk Modeller.
• Strong technical skills in Python, R, or similar for statistical modelling.
• Experience in insurance, pricing, or financial risk environments.

Responsibilities

• Develop and maintain advanced statistical and machine learning models.
• Support the model risk management framework within the Asset Risk function.
• Collaborate with SMEs to align outputs with strategic objectives.

Skills

Python

R

Statistical modelling

Risk management

Communication

Job description

Senior Data Scientist - Asset Risk Modelling

London - Hybrid, 3 days in office £85,000 - £90,000

+ Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working

This is a brilliant opportunity for a Senior Data Scientist with strong experience in model risk management, pricing, and insurance to join a market‑leading organisation during a key period of growth and innovation.

The Asset Risk function is responsible for forecasting key financial risks such as Residual Value, SMR, Insurance Lease Pricing, Economic Capital, and Customer Pricing. As part of their continued expansion, they are now seeking a talented Senior Data Scientist to join the Asset Risk Modelling Team and help shape the future of their modelling capabilities.

In this role, you will take ownership of developing, maintaining, and enhancing advanced forecasting and pricing models that underpin critical business decisions. Working closely with the Modelling Manager and wider stakeholders, you'll ensure the robustness and transparency of all models, while continuously improving methodologies, data use, and analytical processes. You will also play a key role in delivering the model risk management framework across the Asset Risk function.

The ideal candidate will be an experienced Data Scientist/Quantitative Modeller with a strong technical background in Python, R, or similar tools, and proven experience in model development within pricing, insurance, or financial risk. You'll combine deep technical expertise with strong business understanding, communicating insights effectively to both technical and non‑technical audiences.

A fantastic opportunity to join a forward‑thinking organisation where you'll have genuine influence, work on high‑impact projects, and develop your career within a collaborative and progressive environment.

The Role:

• Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting
• Support the delivery and enhancement of the model risk management framework within the Asset Risk function
• Collaborate with business SMEs to align model outputs with strategic objectives and ensure transparency in assumptions and methodologies
• Provide technical guidance on data, modelling techniques, and analytical best practices
• Lead the continuous improvement of modelling tools, documentation, and governance standards
• Work closely with cross‑functional teams across Asset Risk, Product, and Data to ensure consistent and efficient delivery

The Person:

• Proven experience as a Senior Data Scientist, Risk Modeller, or similar role
• Strong technical skills in Python, R, or equivalent for statistical modelling and forecasting
• Experience within insurance, pricing, or financial risk environments
• Excellent understanding of model risk management principles and governance
• Strong communication skills with the ability to explain technical outputs to senior stakeholders
• Comfortable working in a hybrid model, 3 days per week in the London office