Data Scientist

🚀 Are you ready to transform the insurance industry?

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. We are embarking on a new chapter where we are increasing the use of data science and real-time ML engineering techniques to take our market leading models to the next level. And the customer is at the centre of this ambition.

We have a plethora of datasets and cutting‑edge technologies that can (and should!) be leveraged to create propositions that customers will rely on and love.

As a Data Scientist you will be building predictive statistical models, machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. Take ownership of your area and the models you build. This role also plays a key role in acting as the bridge between Data Science and the business and therefore you must be able to translate business problems into a technical one with clear outcomes.

You won’t be on your own though you will have active support from the Lead/Head of Data Science and product owners. Activities will include:

• Developing data science and ML solutions (including GenAI) to drive growth, solve problems and increase automation across the business.
• Work within a cross‑functional team (product managers, ML engineers, analysts) to deliver business goals and help define the product roadmap.
• Input into priorities using data to quantify new opportunities and discover the art of the possible.
• Design and monitor A/B tests showing the impact of initiatives.
• Be an advocate of data science and ML, communicating its value to colleagues across the business.

• Have an end‑to‑end mindset. Experience in designing and building data products using large datasets along with how they would be deployed in production. Working closely with machine learning engineers to do this would be a plus but not required.
• Ability to apply knowledge in statistics and machine learning to real world problems which has had quantitative impact on the business.
• Self‑starter showing proactiveness to unblock yourself when blockers do occur.
• Have a product mindset over an academic one. Think “How will this model or my work impact the business?”
• MLOps experience is not required but would be beneficial to have an understanding at least at a theoretical level.
• Nice to have experience with creating solutions using GenAI.
• A desire to interact with stakeholders and translate business problems into practical solutions.
• Good team working and communication skills with ability to explain complex techniques to non‑technical audience.
• Good knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for the business.
• Good programming skills with Python and good working knowledge of SQL and experience querying large datasets.
• A passion for building data products that can change a business at the fundamental level.
• Able to work with Data Engineers to identify the data engineering requirements for a data science product.
• Understand the need to cleanse and prepare data before including it in data science products.
• Familiarity with Python best coding practices and how to write efficient, optimised code.
• Knowledge of the insurance industry would be an advantage but not essential.
• Ideally you will have experience working with the GCP Vertex AI, or similar services.

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

💸 We match your pension contributions up to 7%

📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it)

😁 Enhanced maternity & paternity

🚉 Travel season ticket loan

🎟️ Access to a wide selection of…