Summary
About the Role
Major Accountabilities
The role provides hands-on exposure to real-world data science applications in commercial analytics, enabling the intern to work on data-driven decision-making, process optimization. The intern will collaborate with cross-functional teams to deliver actionable insights, improve operational efficiency, and prototype innovative solutions, while developing strong foundations in data science, analytics, and business problem-solving.
A. Business Operations Support
- Assist in data preparation, cleaning, and validation across datasets (e.g., claims, sales, promotional data)
- Support execution of multiple data science models
- Contribute to ongoing model monitoring, QC checks, and performance tracking
- Help in documentation of workflows, SOPs, and process artifacts to ensure delivery consistency
- Collaborate with team members to identify and implement process efficiency improvements
B. Analytics & Insight Generation
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights
- Support development of basic statistical/ML/DL models under guidance
- Translate analytical outputs into business-relevant insights and recommendations
C. Innovation Initiatives
- Contribute to innovation pilots (e.g., Ml/DL use cases, automation tools, insight generation)
- Assist in building prototypes, proof-of-concepts (PoCs), or accelerators
- Stay updated with emerging ML/DL techniques (automation frameworks) and support experimentation
- Help document and scale successful innovation use cases
D. Collaboration & Learning
- Work closely with data scientists, product owners, and business stakeholders
- Participate in team discussions, problem-solving sessions, and knowledge sharing
Demonstrate a structured approach to problem-solving and communication
Key Performance Indicators (KPIs)
Delivery & Execution
- Tasks completed within defined timelines
- Accuracy and quality of data processing / analysis outputs
- Compliance with SOPs, QC standards, and documentation practices
Skills:
- Python, SQL, ML, DL basics, etc.
Languages :
- English
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/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
