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As a Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You’ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
You’ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox’s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
You’ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution. This achievement reflects the team’s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
As a Data Scientist, you’ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You’ll be expected to conceptualise new approaches, communicate your vision to stakeholders, and see ideas through to implementation.
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Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
Practical data science experience, applying analytical techniques to solve business problems and deliver valuable insights. Experience of data science in finance or insurance is advantageous but not required.
Experience conducting data analysis, experimentation, and model development to address business challenges. Comfortable using generative AI technologies, including AI-assisted coding tools, to accelerate research, development, and problem-solving, while maintaining a thorough understanding of the methods, code, and outputs produced.
Able to critically review, validate, and take ownership of AI-assisted work, ensuring solutions are accurate, explainable, and fit for purpose, while working effectively both independently and as part of a team.
Public Bermuda-headquartered specialist insurance group serving businesses, professionals, homeowners, and global reinsurance clients.
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