Data Scientist developing advanced manufacturing process models for Bristol Myers Squibb. Involves leveraging AI and analytics tools to enhance biopharmaceutical production processes.
About the role
- Data Scientist role emphasizing business insights and collaboration in insurance analytics. Involves working with clients and analyzing data for problem solving in various functional areas.
Responsibilities
- Emphasis is on providing business insights and managing end to end project delivery
- Structure analytical solution to address business objectives and problem solving
- Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
- Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
Requirements
- Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
- 2-10 years in AI, GenAI, Machine Learning
- Hands on experience in GenAI tools like, AWS, Python, Langchain, Langgraph, VectorDB and good knowledge in segmentation / advanced analytics / Machine learning / statistical / data mining / NLP techniques /Agentic AI
- GenAI, Good knowledge of Agentic AI framework and/or working exposure to Crew AI
- Exposure to insurance analytics
- Good critical thinking and problem-solving skills
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Outstanding written and verbal communication skills, and presentation skills
- Should be proactive, and be able to work in fast pace and continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
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