1984979-Assistant Vice President

Job Description

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 Knowledge of Generative AI Algorithms 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