Hiring for Lead Data Science

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 8-12 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