Key Responsibilities:

- 5+ years hands-on experience in insurance or banking domain with respect to using analytics (statistical modelling / machine learning) for solving business problems

- Experience of working closely with business users to understand their requirements, evaluate available data sources and suggest data science-based solutions to solve business problems

- In-depth understanding of algorithms like linear and logistic regression, decision trees, random forest, gradient boosting, clustering, neural networks and time series forecasting, and experience of using them to solve real-world problems

Key Requirements:

- Certificate / Diploma in Actuarial Science or Economic Planning based on Statistics

- Bachelors degree in Engineering / Statistics / Economics / Mathematics

- Post-graduation in a field related to mathematics or analytics