The AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency.Our team values collaboration and continuous learning, partnering closely with stakeholders across diverse regions to ensure our solutions align with specific business needs. Our work not only drives innovation but also empowers teams throughout Novartis to make informed, impactful decisions based on real-world data.Key ResponsibilitiesDeliver 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 processesBring 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 Requirements1–2 years of experience in data science, preferably in pharmaceutical or healthcare sectorsStrong foundation in statistics, predictive analytics, machine learning, and deep learningProficiency in Python, R, and PySpark for data analysis and modelingProven problem-solving skills with a creative approach to complex challengesAbility to collaborate effectively across time zones and diverse teamsExcellent verbal and written communication for stakeholder engagementBachelor’s degree in a relevant field; Master of Science or MBA strongly preferredDemonstrated ability to balance strategic thinking with operational executionDesirable RequirementsExperience with AI technologies