Manager

• 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
• Modeling / Data Science: Model training and development, Model monitoring, refitting models, diagnostics/analysis and publishing the model
• Model pipeline automation via airflow documentation
• Development dashboards containing model validation and monitoring KPIs

• 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 typical work day will involve working with stakeholders in individual contributor
• A suitable candidate should have 7-10 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.

• Deep understanding of Analytics
• Strong communicator and team player. Should have experience in client interactions.
• Experience in working in a multi-cultural environment
• Questions existing processes, suggests improvements

• 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, Airflow and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification
• Experience working with generalized linear models and machine learning model development process is essential
• Working knowledge with AWS Services like S3, EC2, EMR, Airflow
• Working knowledge of Snowflake and Power BI
• Experience in P&C Insurance Industry is preferable

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