Intern Data Science

• Apply your skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases.
• Design models, dashboards, and frameworks that influence enterprise-wide decisions.
• Collaborate on high-impact projects with direct visibility to stakeholders and leaders.
• Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI.
• Build tangible solutions that shape the future of the workforce—strategy, processes, and culture.
• Support supervisor in research and development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.

Responsibilities:

As a data science intern, you will:

• Apply your skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases.
• Design models, dashboards, and frameworks that influence enterprise-wide decisions.
• Collaborate on high-impact projects with direct visibility to stakeholders and leaders.
• Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI.
• Build tangible solutions that shape the future of the workforce—strategy, processes, and culture.
• Support supervisor in research and development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.

Your impact will include:

• Leverage statistical and machine learning techniques such as regression, classification, clustering, and design of experiments.
• Develop predictive models to address key HR areas like talent acquisition, employee experience, location strategy, and workforce planning.

• Build self-service dashboards and visualizations that empower stakeholders with real-time insights.
• Conduct data mining, exploratory data analysis (EDA), and feature engineering to uncover actionable insights.
• Use generative AI to create personalized employee experiences, optimize HR workflows, and support decision-making.
• Explore and prototype LLM-based use cases to revolutionize workforce analytics.

What you’ll bring to the role:

• Relevant experience in Data Science
• Post-graduate or Graduate from a top Tier University in a quantitative discipline
• Technical Skills: Statistical Modeling/Machine Learning. Must have: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (Trees, Random Forest, Boosting, SVM, CART, etc.) Clustering, Design of Experiments, Statistical Inference

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

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards