Job Description

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Role Overview:

• Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, NLP to address business problems
• Experience in leading customer expectation, project planning , execution and project closure
• Experience in Python, SQL
• Good ability to handle large volumes of data independently
• Able to explain statistical and NLP concept in user friendly manner. Using effective visualization for conveying the stats model results
• The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion
• A suitable candidate should have 5-8 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity.
• Experience in life insurance preferred but not mandatory.

• Technical Skillsets:
• Superior analytical and problem solving skills
• High Proficiency in Python Coding along with good knowledge of SQL
• Knowledge of using Python Libraries such as scikit-learn, scipy, pandas, numpy , nltk, matplotlib
• Deep rooted knowledge and understanding Traditional Machine Learning Algorithms & Advanced modelling techniques (e.g. Random Forest, SVM, time series etc.) and Text Analytics technique (NLTK, Genism, LDA etc.)
• Must have hands on experience of building and deploying Predictive Models
• Cloud Experience on Azure is Good To Have
• Have worked on at least one of the GIT repository management solution (Github, Bitbucket etc.)
• Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
• Good communication skill for client interaction
• Data Management Skillsets:
• Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred
• Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).
• Strong ability to translate functional specifications / requirements to technical requirements

• Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• 5-8 years' experience in process improvement and automation, preferably in Life Insurance but not mandatory
• Strong and in-depth understanding of statistics, data analytics
• Data analysis experience
• Superior analytical and problem solving skills
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
• Is able to understand cross cultural differences and can work with clients across the globe