Sr. Specialist DDIT PO\u0026CF Data Science \u0026 AI (India)

Summary The Senior Specialist, Data Science will support the development and deployment of advanced AI and Generative AI solutions across P\u0026O and Corporate Functions at Novartis. The role focuses on implementing agentic and knowledge augmented AI components, contributing to end-to-end solution development, and applying strong analytical and machine learning skills to solve complex business problems.\n\n\nThe specialist will work on data preparation, traditional ML/DL model development and Gen AI model-based development, evaluation, and integration of AI capabilities into enterprise workflows, while ensuring adherence to Responsible AI and data governance standards.\n\n\nThis position requires solid foundations in statistics, machine learning, algorithmic thinking, and the data science lifecycle. It also requires the ability to translate analytical findings into clear and concise insights, applying visualization and storytelling techniques for business users. The ideal candidate brings hands on experience with Python, ML frameworks, LLM tooling, MLOps practices, and demonstrates curiosity, adaptability, and continuous learning.\n\n\nThe Senior\nSpecialist works collaboratively with cross functional teams, contributes to reusable AI assets, and supports solution implementation under the guidance of senior team members.\nAbout The Role\nKey Responsibilities\nLocation Hyderabad Hybrid\n\n\n\nContribute to the development of AI and Generative AI solutions for Corporate Functions and P\u0026O by supporting experimentation, feature engineering, prompt development, model training, and evaluation.\nImplement components of agentic AI architectures such as retrieval workflows, multimodal pipelines, and knowledge augmented models using enterprise approved tools and frameworks.\nQuickly learn and apply AI tools, agentic AI frameworks, and advanced GenAI solution patterns needed to solve a wide range of business problems.\nSupport data preparation, enrichment, data quality checks, and alignment with enterprise data lifecycle practices including consumption, retention, and retirement.\nDevelop analytical outputs, dashboards, and model insights using strong visualization and communication skills.\nCollaborate with business stakeholders to understand requirements and translate them into actionable analytical tasks and model enhancements.\nApply core statistical and machine learning methods, test hypotheses, and participate in improving the performance and reliability of deployed models.\nWork closely with senior data scientists and AI engineers to implement scalable and reusable components, follow MLOps practices, and ensure compliance with Responsible AI principles.\nDocument work clearly and contribute to shared repositories, reusable assets, and internal best practices.\nDemonstrate adaptability and continuous upskilling in new AI technologies, low code tools, and productivity accelerators.\n\nEssential Requirements\n\n7+ years of experience in Data Science \u0026 applied ML.\nMinimum 2-3 years in Gen AI application development and delivery.\nHands on experience with Python, ML libraries, data processing frameworks, and Generative AI tools.\nExperience applying machine learning algorithms and analytical methods to real world business problems.\nFamiliarity with LLMs, prompt design, embeddings, and retrieval components.\nGood understanding of data governance, data quality, and data lifecycle fundamentals.\nExperience with version control, testing, and basic MLOps workflows is preferred.\nHands on experience with graph databases such as Neo4j and graph algorithms.\n\nDesirable Requirement\n\nKnowledge of vector databases.\nStrong grounding in traditional ML and deep learning algorithms.\nChange management awareness.\nStrong stakeholder engagement capability.\nHigh learning agility and curiosity.\n"Ready for anything" mindset is a must have.\n\nYoull receive:\nYou can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards\nCommitment To Diversity And Inclusion\nNovartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.\nJoin our Novartis Network\n: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: Summary The Senior Specialist, Data Science will support the development and deployment of advanced AI and Generative AI solutions across P\u0026O and Corporate Functions at Novartis. The role focuses on implementing agentic and knowledge augmented AI components, contributing to end-to-end solution development, and applying robust analytical and machine learning skills to solve complex business problems.\n\n\nThe specialist will work on data preparation, traditional ML/DL model development and Gen AI Summary Th