Hiring for Lead Data Science

Job Description

The job responsibilities include the following: Clearly Setting Project Objectives with the Client – Take initiatives to identify opportunities and develop problem statements to be worked upon. Data Extraction, Cleansing and Manipulation – Handle large volume of data, research for variables and work with structured/unstructured data. Predictive Modelling – Development of models using appropriate predictive analytics techniques Model Documentation – Clear and Detailed Documentation of the modelling procedures. Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need We are also looking for a go getter person who can define: Analytic strategies to meet the demands of business requirements Technical requirements of the analytic solutions Data requirements of the analytic solution processes The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data science Engages in technical problem solving across multiple technologies; often needs to develop new solutions A suitable candidate should have 7-12 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 insurance preferred but not mandatory. Personal Qualifications Deep understanding of Analytics Strong communicator and team player. Should have experience in client interactions. Required Education and Skills Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.) Strong IT skills - Hands on experience in Machine Learning, Data Analysis and Data Preparation tools like Python, Pyspark, SQL, and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification Show more Show less