Hays Intelligent Automation is assisting a leading insurance firm in their search for a Principal Data Scientist. Advanced knowledge and expertise in modelling methodologies, dataset generation/transformation, statistical programming, and analysis will be required for the successful Principal Data Scientist. They will be expected to lead a team in a fast-paced, global environment and to take the lead on analytical initiatives that will have an impact on the firm's underwriting and marketing. - Use statistical and data mining techniques to identify profitable growth areas and optimise portfolio performance. - Analyze complex insurance risk factors and report findings to a wide range of stakeholders, including underwriters and product managers. - Create cutting-edge predictive models and analytic solutions to assist with underwriting functions. - Using data management tools, extract and manipulate data (internal and external sources). - Analyze data before developing innovative solutions to increase profitability and/or growth. - Regularly collaborate with business leaders to understand issues and recommend/provide solutions. Qualifications: + A degree in Statistics, Mathematics, Analytics, or Computer Science is required. + An advanced degree in Statistics or Predictive Analytics is strongly preferred. + 8+ years of predictive analytics experience (ideally in the insurance industry) + Thorough understanding of complex business challenges, design analytical solutions, and advanced modelling techniques. + Advanced knowledge in statistical analysis and multivariate procedures. This is an exciting opportunity to work for an industry leader in the insurance industry. To learn more about the opportunity, please apply with your most recent CV and one of the Intelligent Automation team will contact you. #4368188 Hays Intelligent Automation