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 recent algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.

About the Role

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

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

Division

People & Organization

Business Unit

Human Resources

Location

India

Site

Hyderabad (Office)

Company / Legal Entity

IN10 (FCRS = IN010) Novartis Healthcare Private Limited

Functional Area

Others

Job Type

Full time

Employment Type

Early Career (Fixed Term)

Shift Work

No

📌 Intern Data Science (India)
🏢 Novartis
📍 India