Data Scientist- GenAi/Agentic Ai
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Data Scientist- GenAi/Agentic Ai
Location
India
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
Data Scientist with experience in ML/NLP, actively working on GenAI and Agentic AI solutions, including RAG pipelines, multi-agent orchestration, and LLM-based applications for automating complex decision-making tasks
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
**Role & Responsibilities Overview:**
- **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.**
**Candidate Profile:**
- 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
**What we offer:**
- **EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.**
- **You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth**
- **Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.**
- **We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.**
- **Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.**
### Qualifications
**Candidate Profile:**
- 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
Key Responsibilities
- Collaborate with client and internal teams to establish relationships and identify growth opportunities.
- Develop trusted advisor relationships with clients.
- Analyze structured and unstructured data to solve specific business problems.
- Ensure industry best practices are followed and communicate with the delivery team.
- Brainstorm pain areas, diagnose inefficiencies, and propose resolutions.
- Facilitate client working sessions and lead project status meetings.
Requirements
- Bachelor's or Master's degree in economics
- mathematics
- computer science/engineering
- operations research
- or related analytics areas
Skills Required
PythonAWSLangchainLanggraphVectorDBGenerative AIAgentic AINLPMachine LearningStatistical AnalysisData MiningPrompt EngineeringLLMsRAG PipelinesMulti-agent OrchestrationCritical thinkingProblem solvingCommunicationPresentation skillsProactiveAdaptabilityCross-cultural understandingInsurance analytics
Benefits
- Mentoring program
- Training in analytics and leading tools
- Professional growth opportunities
- Collaborative environment
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