Data Scientist - Life Insurance

- Gathering & understanding the business requirements from the business teams and designing/performing relevant analysis as per the objective

- Build Analytics models to address business problems such as persistency, propensity to renew, propensity to repurchase, ead scoring, best action etc

- Data Management: Create data structures / depositories, MAP data requirement in a comprehensive form, integrate systems to collate data & build automated processes, identify & creatively use conventional and non-conventional data sources independently.

- Present your research and insights to all levels of the company and work with cross-functional teams to rapidly execute and iterate

- Manage analytical models end - to-end including scope creation, data collection, model building, presention to business, work flow & real - time tech integration

- Research new-age technologies and methodolgies which could help in either improving revenue or process efficiency .

- Thorough knowledge & experience in managing analytics packages in R/Python

- Experience in BFSI/ insurance industry is an added advantage

- Experience in ML/AI Techniques such as Regression, Classification, Clustering, NLP & Text Mining, Boosted Trees, Recommender Systems 

 - Skilled in Excel & Powerpoint 

 - Knowledge of Statistical Techniques like A/B testing, Hypothesis testing, Confidence Interval Estimation, Regression, Time Series Analysis

- Qualification in a quantitative discipline (Statistics, Econometrics, Economics, Mathematics, Operations Research or Actuarial Papers)

- Thorough Knowledge of analytics packages in R/Python and database tools like SQL.

- Should have prior experience in data handling/manipulation using R/Python

- Data cleansing, structuring, analytical and reasoning skills