Data Scientist

Policy Expert; City of Westminster; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A forward-thinking insurance company is looking for a Data Scientist to develop, test, and deploy machine learning models that optimize customer premiums. You will work in a dynamic team, designing pricing experiments and influencing business outcomes with data-driven insights. The ideal candidate has strong programming skills in Python and experience in the insurance sector. This role is based in London in a hybrid work model, emphasizing collaboration and innovation in pricing strategies.

Qualifications

• Experience developing and deploying statistical and machine learning models in insurance pricing.
• Strong programming skills in Python with a working knowledge of SQL.
• Familiarity with software engineering best practices.

Responsibilities

• Build predictive models for home, motor, and pet insurance products.
• Design and run pricing experiments to understand customer behavior.
• Influence pricing improvements with data-driven insights.

Skills

Statistical and machine learning models

Python programming

SQL

Stakeholder interaction

Statistical modelling techniques

Tools

GCP Vertex AI

Job description

As a Data Scientist, you will be developing, testing, and deploying advanced statistical and machine learning models to optimise customer premiums and support our pricing/underwriting/counter‑fraud strategy. You’ll collaborate closely with pricing, underwriting, commercial teams and ML Engineers to ensure models are implemented effectively and deliver measurable value.

Responsibilities

• Building predictive and optimisation models to determine the best premium to offer across home, motor and pet insurance products.
• Designing and running pricing experiments (including A/B tests and market tests) to understand customer behaviour, retention and conversion.
• Developing real‑time pricing and decisioning solutions that balance volume, profitability and risk appetite.
• Working within a cross‑functional squad (pricing managers, underwriters, ML engineers, analysts) to deliver pricing improvements and business outcomes.
• Influencing priorities using data‑driven insights and quantifying the commercial impact of initiatives.
• Monitoring model performance and ensuring regulatory and fairness considerations are built into our pricing solutions.
• Being a champion of retail pricing science across the business and explaining the value of data‑driven pricing strategies to non‑technical stakeholders.

Qualifications

• Experience developing and deploying statistical and machine learning models in the insurance retail pricing/counter‑fraud/underwriting context.
• Strong programming skills in Python, with a working knowledge of SQL, and experience analysing large, complex datasets.
• Strong knowledge of statistical modelling and optimisation techniques relevant to pricing and customer behaviour.
• A desire to interact with stakeholders (pricing, underwriting, product) and translate business needs into practical modelling solutions.
• Ability to design, monitor and interpret pricing tests and experiments.
• Familiarity with software engineering best practices and writing efficient, production‑ready code.
• Experience working with pricing, underwriting or counter‑fraud within a UK general insurance market would be an advantage.
• Experience with cloud‑based ML platforms such as GCP Vertex AI (or similar) is desirable.

Location

This role will be based in our London office in a 50/50 Hybrid mode.

At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.

Policy Expert is a forward‑thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in home, motor and pet insurance and have been ranked the UK's No.1‑rated home insurer by Review Centre since 2013. This is an exciting time for us as we expand our Data Science capabilities to support our ambitious growth plans in insurance pricing/counter‑fraud/underwriting. Retail pricing is at the heart of our business – finding the right premium to offer each customer, balancing competitiveness, fairness and profitability. We’re investing heavily in data science and ML engineering to take our pricing models to the next level, with the customer at the centre of everything we do. With a wealth of internal and external datasets and cutting‑edge technologies, we have the opportunity to deliver innovative, market‑leading pricing solutions that customers can trust.