Data Scientist

Job Description: We are looking for an internal candidate to take on an advanced Data Science role focused on Generative AI (GenAI) and Agentic AI systems . This role will drive the design and deployment of intelligent, autonomous solutions that enhance business workflows such as claims processing, underwriting, customer servicing, and decision automation.

The ideal candidate combines strong data science fundamentals with hands-on experience in LLMs, prompt engineering, and AI orchestration frameworks , and is eager to build scalable, production-grade AI solutions.

• Responsibilities: 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.

• Qualifications: 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