Role Overview:
The Data Science Lead will drive the design, development, and deployment of advanced analytics and AI solutions. This role combines hands-on technical expertise with team leadership, guiding data scientists to deliver high-impact solutions. The ideal candidate brings strong experience in machine learning, Generative AI, and up-to-date AI architectures, along with the ability to translate business problems into scalable data science solutions.

Key Responsibilities:
Lead the end-to-end development of data science and AI solutions from problem definition to deployment
Design and implement machine learning, statistical, and Generative AI models
Drive adoption of LLMs and agentic frameworks to build intelligent, scalable applications
Mentor and guide junior data scientists and analysts, ensuring best practices and high-quality outputs
Collaborate with cross-functional stakeholders to translate business needs into data-driven solutions
Oversee model deployment, monitoring, and optimization using cloud platforms (AWS/Azure)




Establish best practices for model development, validation, and MLOps
Stay updated with advancements in AI, GenAI, and data science, and bring innovation into projects

Required Skills & Qualifications:
6+ years of experience in Data Science or a related field
Robust expertise in machine learning, statistics, and data analysis
Hands-on experience with Generative AI, Large Language Models (LLMs), and related frameworks
Proven experience in building and deploying one or more agentic AI solutions
Familiarity with modern AI application architectures
Experience working with cloud platforms such as AWS and/or Azure
Solid programming skills in Python and data science libraries (e.g., pandas, scikit-learn, etc.)
Experience in leading or mentoring data science teams
Experience in healthcare or life sciences domain
Strong problem-solving and analytical thinking abilities

Good to Have:
Exposure to NLP, deep learn

📌 Associate Manager, Research Analytics Gurugram
🏢 Inizio Ignite
📍 Gurugram