The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution
- The ideal candidate should be able to think from first principles to define and come up with solutions for any business problem
- This is a hands-on role and will be required to manage day to day delivery activities and guide the team in executing analytics projects by analyzing large volume of data
- Ideal candidate should have hands on experience using Machine Learning Techniques
- He / She would be responsible for creating Presentations, reports etc to present the analysis findings to the end clients
- This role requires excellent communication skills. Additionally should possess the ability to confidently socialize business recommendations and enable customer organization to execute such recommendations.
- Technical Experience:
Hands on experience in developing models (end to end)
- Multiple linear regression
- Logistic regression
- Time series forecasting using ARIMA/ARIMAX
- Clustering
- Decision Tree
- Random Forest
- Support Vector Machine
- Na- ve Bayes
- Gradient Boosting Machine
Tools
- R, SAS, Python coding, SQL
- Experience processing large amount of data using BigData technologies is preferred
- Knowledge of any of the visualization tools like Tableau, Spotfire, QlikView,R Shiny etc. is a plus
- Functional/Domain Experience:
Good exposure to BFSI domain especially insurance
- 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:
5 - 10 years of hands on experience in executing analytics projects
- Communication Skills
Very strong written and verbal communication
Ability to ask right questions
Good thought leadership and structured thinking
Good presentation skills
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