Analytics Manager

up to 65K
21 Apr 2017
21 May 2017
Contract Type
Full Time

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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