Data Scientist

Policy Expert - 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.

Hear from our team about what it's like working at Policy Expert
• About our Data Science Team

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.

Your day to day:

As a Data Scientist you will be building predictive statistical models and 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. 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.
• Influence and input into priorities using data to quantify new opportunities.
• Design and monitor A/B tests isolate the impact of initiatives.
• Be a champion of data science and ML, communicating its value to colleagues across the business.

Who are you:

• Experience building machine learning models and deploying them into production, working with ML Engineers.
• Ability to apply knowledge in statistics and machine learning to real world problems.
• Nice to have experience with creating solutions using GenAI
• A desire to interact with stakeholders and translating business problems into practical solutions
• Good team working and communication skills with ability to explain complex techniques to non-technical audience.
• Demonstrate in-depth 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.
• 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
• Understand software architecture 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.

Benefits:

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

We match your pension contributions up to 7%

Private medical & Dental cover

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 London O2 events and use of a Private Lounge

Employee Wellbeing Programme

Prayer room in Office

What We Stand for and Next Steps "We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual's skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment"

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.

We aim to be in touch within 14 working days of your application - you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.

Useful links:

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