Data Scientist – Statistical Modelling –Confidential – Mumbai (10-20 years of experience)

deepak Last Updated : 10 Nov, 2014
< 1 min read

Designation – Data Scientist – Statistical Modelling

Location – Mumbai

About employer– Confidential

Job description:

Responsibilities

  • 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

Qualification and Skills Required

  • Experience 10 – 20 Years
  • 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 Actuarial 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

Interested people can apply for this job can mail their CV to [email protected] with subject as Data Scientist – Statistical Modelling –Confidential – Mumbai

If you want to stay updated on latest analytics jobs, follow our job postings on twitter or like our Careers in Analytics page on Facebook

Responses From Readers

Clear

Congratulations, You Did It!
Well Done on Completing Your Learning Journey. Stay curious and keep exploring!

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details