Principal Partner at Rinalytics Advisors
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Data Scientist - Statistical Modelling (10-20 yrs)
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
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