Manager - Data Science

Location – Hyderabad  #LI Hybrid

Key Accountability

• Analyze large datasets from various sources (Claims, Sales, Promotions, etc.) to uncover insights and drive decision-making processes.
• Develop and implement sophisticated data analysis, machine learning, and deep learning models to interpret complex pharmaceutical data & provide solutions as an individual contributor to business questions and problems in the field of Predictive Modelling 
• Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.
• Foster collaboration with the team; mentor a small team of Associate Analysts/ Analysts/Senior Analysts in delivering projects. 
• Deliver through structured project management approach with appropriate documentation and communication throughout project delivery cycle. 
• Support in creation and maintenance of standard operating procedures (SOPs), quality checklists (QCs) that will enable excellent quality outputs within the function. 
• Support in design and experiments for predictive analytics to optimize patient journey & HCP behavioral outcomes.
• Contribute to the development and enhancement of an internal ML/AutoML platform to standardize data pipelines, automate model training, tuning, and evaluation, and accelerate experimentation across predictive analytics use cases.
• Build reusable ML components (feature pipelines, evaluation modules, model templates) that can be integrated into the platform to ensure consistency and scalability.
• Partner with Data Engineering and Platform teams to operationalize AutoML workflows, ensuring governance, model reproducibility, and quality controls.
• Support exploration of GenAI and LLM techniques to enhance feature engineering, synthetic data generation, and documentation automation within predictive analytics workflows.
• Comply with all internal functional operating procedures like time & KPIs tracking, and other internal systems and processes. 

Essential Requirements:

• Minimum of 5 years of experience in data science, with 2-3 years of experience in the pharmaceutical healthcare industry.
• Deep understanding of Machine Learning, Deep Learning algorithms, Foundational/ LLM models, Statistics, and Predictive Analytics
• Proficient in programming languages such as Python, PySpark, Databricks, R
• Experience in building and deploying scalable machine learning models (e.g. cloud-based services such as AWS and Azure)
• Hands‑on experience with AutoML frameworks (such as Azure AutoML, H2O AutoML, DataRobot, or custom ML automation pipelines).
• Strong understanding of ML platform components including model registries, feature stores, automated evaluation, and monitoring workflows.
• Exposure to GenAI/LLM‑based tools for improving analytics efficiency (e.g., automated feature suggestions, code generation, or summarization).
• Excellent problem-solving skills and ability to identify creative solutions to complex problems
• Strong ability to effectively communicate and work across different time zones
• Excellent verbal and written communication skills to articulate and present business problems and solutions to key stakeholders persuasively

Education (minimum/desirable): 

• Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred 

Additional qualifications are as follows: 

• Ability to balance operational execution with high-level strategic thinking, supporting both day-to-day performance and long-term business goals
• Ability to work collaboratively with cross-functional teams, including Marketing, Field & Sales, Data Enablement & Platform Teams for product development
• Excellent communication skills, capable of effectively collaborating with senior leadership
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together.  https://www.novartis.com/about/roadmap/people-and-culture 

Commitment to Diversity & Inclusion: 

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve. 

Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration. 

Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.