Join to apply for the Data Scientist role at Policy Expert

Join to apply for the Data Scientist role at Policy Expert

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

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 (using, e.g., python, SQL, GBM, random forests) 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.
  
  

• Experience building machine learning models and deploying them into production, working with ML Engineers.
• Good programming skills with Python and good working knowledge of SQL and experience querying large datasets.
• Ability to apply knowledge in statistics and machine learning to real world problems.
• 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.
• 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.
• 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.
• Nice to have experience with creating solutions using GenAI
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Insurance

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