About the Role
We are seeking a visionary Lead Data Scientist to spearhead our AI and advanced analytics initiatives within the health 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 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 best-in-class solutions in Generative and Agentic AI.
- Team Leadership: Mentor and work manage a high-performing team of data scientists and AI engineers, fostering a culture of collaboration and excellence.
Qualifications & Skills
- Education: Master's or PhD in Data Science, Computer Science, AI, or related quantitative field
- Experience: 8+ years (Master's) or 5+ years post-PhD in AI/Data Science
- 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
