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28/05 Poonam
HR at Hipos Consulting Services LLP

Views:330 Applications:101 Rec. Actions:Recruiter Actions:99

Data Scientist - Life Insurance (5-7 yrs)

Mumbai Job Code: 930907

- 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

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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