FUTURES AND CAREERS | Jobs | data science(R) | BigDataKB.com | 31-03-22

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Job Location: Bangalore/Bengaluru

Roles and Responsibilities

Hi,
Greetings From Futures and Careers..!!
Opening for data science(R) position for leading MNC position in Bangalore.

Pls find the details Below..
Total Exp:4 years to 10 years

Location : Bangalore
Position: data science
Job Description
  1. The person should be highly competent in R (all relevant functions & packages), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models
  2. In-depth knowledge of model development/data wrangling experience using R
  3. Ideal candidate should have hands on experience using Machine Learning techniques like Clustering, Logistic regression, Random Forest, Gradient Boosting Machine, SVM
  4. Experience processing large amount of data and various data sets using Big Data technologies is preferred
  5. In functional/other expertise, โ€œGood exposure to BFSI domain especially Insuranceโ€ would be a add on advantage. It is very useful if people already know their present value from their undiscounted cashflows, but a good candidate could pick this up.
  6. In functional/other expertise, weโ€™re interested in anyone who can help build out standards/practices ie an interest in setting coding standards, specifying architecture etc. Again, not mandatory โ€“ just having someone who has been part of a good system elsewhere would help
  7. Candidate with knowledge of Jira preferred

Roles and responsibilities

  • Development

o Analysis of change requirements

o Designing and prototyping

o Release management and build documentation

o Management of parallel build integration

  • Validation and rationalization

o Expected vs. actual analysis of model results

o Holistic first principles validation using original model literature

o Rationalization of the model platform through consolidated and unified modeling solutions

  • Conversion and consolidation

o Cross-platform model conversion

o Model platform version migration

o Model consolidation by integrating standalone models

  • Optimization and transformation

o Model efficiency improvement by ensuring adherence to coding standards and eliminating model redundancies

o Modeling platform transformation in response to regulatory change imperatives such as Solvency II

o Modeling process transformation in pursuit of business-efficiency-led requirements Holistic first principles validation using original model literature

Apply Here

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