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Aviva is seeking a Principal Data Scientist to lead the Personal Lines analytics effort within the Retail team in London/ nationally. You will guide a data science team, work with stakeholders across the business, and drive data-driven decisions that improve customer outcomes.
The role requires strong expertise in statistics, ML, and AI, with excellent communication and strategic thinking to deliver impactful solutions in a complex insurance landscape.
National Salary circa £85,000 (Depending on skills and experience)/ London circa £95,000 (Depending on skills and experience)
Location : London/ Norwich
Aviva are looking for a dynamic Principal Data Scientist to support our Retail team.
An exciting opportunity has arisen to join our high-profile data science team. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening machine learning and analytics as a distinctive capability. The team is recognised as a centre of excellence in our Global Data Science Department – providing new data-driven insights that improve decision making across the Aviva Group.
You will be a data science leader within the Personal Lines business. You will be working closely with stakeholders across the Personal Lines business to understand the challenges being faced and then lead on the execution of innovative data science solutions to drive better business and customer outcomes for our Retail business. You will build an excellent understanding of the business, its strategy, and its objectives. You will lead a team focussed on delivering solutions to support those objectives and exercise license to be creative in exploring new and innovative ways of generating value from data.
The ideal candidate will also have experience of being a data science leader within the Pricing & UW Analytics field of personal lines insurance.
We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.
We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.
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