Provide actionable and advanced Analytics solutions.
The incumbent would work as part of this team to support the Underwriting and Claims Analytics team on a dvanced analytics and data mining projects.
Deploy advanced statistical techniques like GLM, Bayesian Inference, etc.
Develop advanced predictive models. Work on projects related to segmentation and profiling.
Work independently on intermediate to complex level data gathering, validation, manipulation, data mining and predictive analytics.
Strong experience of SAS and other statistical tools like SPSS, or R
Should have worked on large datasets
Strong analytical skills with a solid understanding of statistics and predictive modeling.
Experience in predictive modeling techniques GLM, Logistic Regression, Linear Regression, Time Series, Segmentation, Market-mix modeling, etc.
Demonstrated ability and experience of constructing mathematical models from large and complex data sources, including unstructured textual data.
Strong experience of working in Claims Analytics and solving Underwriting problems in Life and Non-Life Insurance.