Data Scientist - Statistical Modelling

Data Scientist - Statitical Modelling & Machine Learning Techniques

Qualification & Experience:

- Proven experience in Insurance domain with respect to analytics, actuarial practice, statistical modelling, simulation and planning

- Having a flair for programming algorithms in some or the other technology for analytics, statistical modelling or simulation

- Experience in using applied mathematics in business planning and management

- Experience in using the algorithms like

- K means clustering

- Random forests

- Decision tree

- Linear Regression

- Correlation

- Time-series

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

- Certificate / Diploma in Programming (any language)

- Certification in Statistical Modelling and Simulation

- Post Doctorate in Statistics / Mathematics OR BE / MS

RESBONSIBILITIES INCLUDE:

- Create Algorithms to implement specific Machine Learning implementations on available data sets for analytics for customers in Insurance / Investment Banking

- Create a Data – Information – Knowledge policy for the customers with respect to exploration, ML and Analytics

- Help programmers build ML algorithms

- Deploy analytics solutions based on Big Data and Visualization technologies

- Customer Interaction

- Mentoring and Team Management

- Hire team members to build and support ML

- Manage teams

Interested prospects, write to me at n.senthil@rinalytics.com