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
