We are seeking a visionary Data Scientist to spearhead our AI and advanced analytics initiatives with the agency & customer domain. This role is ideal for a seasoned professional who thrives at the intersection of cutting-edge technology, ethical AI, and strategic business impact.

You will lead the development and deployment of high0impact data science solutions, drive innovation in the development and deployment of high-impact data science solutions, drive innovation in Generative and Agentic AI, and champion responsible AI practices across the organization.

Key Responsibilities :

- Model Development & Deployment : Build, test, deliver, and maintain robust data science and AI models that solve complex business challenges.

- Responsible AI Leadership : Embed the highest standards of AI ethics and responsible AI in all phases of model development and deployment.

- Business Alignment : Influence and translate strategic business objectives into actionable data science requirements.

- Health Pillar Support : Drive ideation and delivery of advanced analytics and AI solutions within the health vertical especially on AI based conversational chatbots.

- Conversational AI Ownership : Lead the design, development, and optimization of intelligent chatbots and conversational agents.

- Innovation & Thought Leadership : Continuously explore and implement solutions in Generative and Agentic AI.

- Team Leadership : Mentor and work manage a high-performing team of data and AI engineers, fostering a culture of collaboration and excellence

Programming :

- Expert in Python, SQL, LangChain, Hugging Face

Use-Case Experience :

- Preferably with conversational chatbots utilizing LLMs for intent detection, Geolocation Analytics, Churn Modelling, Cluster Analysis, Recommendation Engine

Cloud Platforms :

- Hands-on experience with Azure or Google Cloud

MLOps/AIOps :

- Experience in managing ML artifacts and LLM cost optimization is a strong plus

Leadership :

- Proven track record managing delivery teams of data scientists and AI engineers

Communication :

- Exceptional ability to communicate across technical and non technical audiences

Collaboration :

- Strong team player with cross-functional and cross-geography collaboration skills

Problem Solving :

- Demonstrated critical thinking and analytical capabilities

- Insurance domain experience is must