Key Tasks & Responsibilities:
• Apply sophisticated, cutting-edge statistical techniques to very large data sets in the course of predictive modelling, business problem solving and various analytical projects. Examples of the techniques include Decision Trees, Clustering, GLM, Boosting, Neural Networks, Text based analytics
• Build complex tools and analytical models for use by business operations and/or functional groups (e.g. Pricing, Underwriting, Marketing, Claims etc.)
• Produce meaningful observations and recommendations through synthesizing data from internal and external sources. (E.g. economic, weather, customer sat, social media activity, etc.)
• Present findings / recommendations to management
• Perform data preparation steps, including extraction of target data from multiple databases, integration of multiple datasets, and creation of derived variables, application of business rules, and quality control checks
• Collaborate with other advanced analytics staff to share best practices in predictive modelling and build the advanced analytics community

Experience & Knowledge:
• Strong technical background; comfortable with programming and / or use of statistical software packages (SAS, R, Python, Emblem) and Excel
• Experience / understanding of using statistical and mathematical techniques e.g. regression analysis, cluster analysis and optimisation
• Identification of relevant statistical techniques for addressing various problems
• Interpretation of results mathematically and strategically

For more information please contact Paul at 016099404 or

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