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Senior Data Scientist


Location:

Sydney, Australia

Experience

8 Years - 13 Years

Industry

Insurance Consulting

Job Application

Accepting Applications


Job Description



  • The ideal candidate would be adept at understanding customers business challenges and define
  • appropriate analytics approach to design solution
  • The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business
  • Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes
  • The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial.
  • The person should at a minimum be proficient in R, competent in Python, possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models.
  • Ideal candidate should have hands on experience using Machine Learning Techniques
  • They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction
  • Good knowledge of model development/data engineering experience using Python and R
  • He / She would be responsible for creating Presentations, reports etc to present the
  • Analysis findings to the end clients/stakeholders
  • Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.
  • Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add.


Ideal Candidate & Qualifications

Technical Experience:

Hands on experience in developing models (end to end)

  • Logistic regression
  • Clustering
  • Decision Tree
  • Random Forest
  • Support Vector Machine
  • Naive Bayes
  • Gradient Boosting Machine
  • Deep learning
  • Natural Language Processing

Tools:

  • Python, R
  • Experience processing large amount of data using BigData technologies is preferred
  • Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus



Functional/Domain Experience:

  • Good exposure to BFSI domain ( Insurance is preferred)

Certifications/Analytics competitions

  • Recognized certifications in analytics technologies
  • Participations / solving Kaggle competitions

Educational Qualification:

  • Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 Institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions

Relevant Experience:

  • 8+ years of hands on experience in executing analytics projects


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