Global company requires data scientists capable of utilising the latest statistical modelling and machine learning techniques to improve insurance Pricing.
You will join a team who is responsible for maintaining the competitiveness of predictive models in insurance Pricing. Building on their existing industry-leading GLM framework and unparalleled customer database, the team objective is to add-value through the integration of both new data sources (including Big Data) and the application of the latest machine learning techniques.
You will have:
•Degree/MSc/PhD in numerate subject e.g. Maths, Applied Sciences, Engineering. •Relevant commercial experience
•Exceptional numerical ability and creative thinker/problem solver.
•Database extraction and manipulation using SQL/Oracle, with experience in handling big-data an advantage e.g. AWS/Hadoop.
•Experience using some of the major data science tools e.g. R (preferable), Python, SAS. •Proficiency in statistical modelling and machine learning techniques e.g. k-means, decision trees, neural networks, ensemble learning, etc.
•Experience in feature engineering and designing robust model tuning approaches would be an advantage
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