This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Summary - Understands business problems, supports an integrated analytical approach to mine data sources, manage data effectively, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. -Provide data science and quantitative analytical support by ensuring the timely delivery of high-quality reports. -Build capabilities to leverage the Science of data. About the Role Location : Hyderabad NKC. Key Responsibilities: Deliver predictive and classification models using machine learning and statistical algorithms as an individual contributor for various projects related to commercial pharma, in close collaboration with senior associates in the team. Analyze large datasets from various sources (Claims, Sales, Promotions, etc.)



to uncover insights and drive decision-making processes Bring in operational efficiencies in the existing processes by closely working with senior associates in the team. Deliver through a structured project management approach with appropriate documentation and communication throughout the project delivery cycle. Support the creation and maintenance of standard operating procedures and quality checklists to ensure excellent quality outputs within the function. Deliver projects and manage internal customer expectations across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation and optimization, and ad-hoc requests. Support the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI and LLM technologies. Essential Requirements: Experience of 3 years in data science, ideally within the pharmaceutical or healthcare sectors. Deep

📌 Specialist, Data Science (India)
🏢 Novartis
📍 India