Data Science- R -(2-6 years)

Location: Bangalore(East)
Discipline: Analytics
Job type: Permanent
Contact name: Aishwarya Talwar

Contact email:
Job ref: 36714
Published: 15 days ago
Startdate: 25/04/2022


Data Scientist R (2- 6 years) Data Wrangling - Bangalore
Here is an exciting opportunity for the position of Data Scientist R. The ideal candidate would be the one with an expertise in Data Wrangling and Predictive modelling with hand on experience in Machine Learning techniques like logistic regression, Clustering, Logistic regression Random Forest preferably with fine exposure to BFSI domain specially in Insurance.
Location :- Bangalore
YOUR FUTURE EMPLOYER :- A global leader in Business process management headquartered in Mumbai with presence across 4 continents and 16 nations on the globe.
  • Analyzing, designing and prototyping the changed requirements
  • Managing the parallel build integration, releasing management and building documentation
  • Analyzing the expected vs actual models results
  • Validating first principles by using original model literature
  • Rationalizing the model platform via consolidated and unified modelling solutions
  • Performing cross platform model conversion and model consolidation by integrating standalone models.
  • Performing Model platform version Migration.
  • Ensuring adherence to coding standards and eliminating model redundancies for improving model efficiency.
  • Modeling platform transformation to regulate change imperatives such as solvency II
  • Major expertise in R and sharp analytical skills in the evaluation of predictive models
  • In depth knowledge of data wrangling using R.
  • Hand on expertise in machine learning techniques such as clustering, logistic regression, Random Forest, Gradient Boosting Machine and SVM.
  • Preferably experienced in processing large data sets using Big Data technologies
  • Exposure to BFSI domain especially in Insurance would be perk.
  • Candidate with the knowledge of Jira would be preferred.
  • Expertise in setting coding standards and specifying architecture.
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