Associate Manager, Research Analytics Gurugram (India)

Job Description 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 modern 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 Strong 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 Robust 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 Robust problem-solving and analytical thinking abilities Positive to Have: Exposure .