Job Location: Gurgaon/Gurugram
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.
Key Responsibilities & Skillsets :
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 EXL Service 10 Exchange Place, Suite 2200, Jersey City, NJ T: +1.201.748.4700 www.exlservice.com
– 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
– Must have experience of building Predictive Models using AWS Sagemaker and other AWS services
– 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
Candidate Profile :
– Bachelor’sMaster’s degree in economics, mathematics, actuarial sciences, computer science engineering, operations research or related analytics areas; candidates with BABS 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
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