Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
Develop long-lasting, trusted advisor relationships with clients
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
Ensure Industry best practices are followed, Communicate and follow up with delivery team
Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
Facilitate client working sessions and lead recurring project status meetings
A typical work day will involve working with stakeholders as individual contributor.

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

Data Scientist

Key skills