Summary
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.
Responsibilities
About the Role
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
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)