Data Scientist

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  • 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
  • Hands on experience in GenAI tools like, AWS, Python, Langchain, Langgraph, VectorDB in insurance domain
  • Develop long-lasting, trusted advisor relationships with clients
  • Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues
  • Ensure Industry best practices are followed, Communicate and follow up with delivery team
  • Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
  • Independently work across data manipulation, visualization, predictive modeling, Reporting and Automation projects
  • Facilitate client working sessions and lead recurring project status meetings
  • Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations

  • 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