Novartis Intern Data Science Recruitment 2026 – Hyderabad
Novartis has opened an Intern Data Science opportunity in Hyderabad, India. The position sits within the People & Organization division and Human Resources business area, giving the intern an opportunity to apply data science to workforce-related problems.
This is not a routine reporting internship. The role combines statistical modelling, machine learning, predictive analytics and generative AI with practical HR use cases such as employee engagement, recruitment optimization and workforce planning.
Job Details
| Details | Information |
|---|---|
| Company | Novartis |
| Role | Intern Data Science |
| Job ID | REQ-10087679 |
| Location | Hyderabad, India |
| Site | Hyderabad (Office) |
| Division | People & Organization |
| Business Unit | Human Resources |
| Job Type | Full Time |
| Posted On | September 9, 2026 |
About the Internship
The intern will work on data science problems connected to the workforce and HR function.
The role involves using data to understand business questions, developing models and dashboards, and exploring newer approaches such as large language models and generative AI.
There is also an opportunity to work on projects that have visibility with stakeholders and business leaders.
What You Will Work On
The responsibilities include:
- Applying data science to challenges involving employee engagement and recruitment.
- Working on predictive workforce planning problems.
- Exploring generative AI use cases.
- Designing models, dashboards and analytical frameworks.
- Supporting projects that influence business decisions.
- Working with structured and unstructured data.
- Researching new algorithms, statistical methods and business models.
- Providing analytical insights to support workforce-related decisions.
- Collaborating with stakeholders and leaders on high-impact projects.
Data Science & Machine Learning Work
The position specifically calls for knowledge of statistical modelling and machine learning.
The technical areas mentioned include:
- Regression techniques, including GLM and non-linear approaches
- Classification methods such as Trees, Random Forest, Boosting and SVM
- Clustering
- Design of experiments
- Statistical inference
- Predictive modelling
- Machine learning
- Exploratory data analysis
- Feature engineering
This makes the role particularly relevant to candidates who have built a strong foundation in statistics and machine learning rather than focusing only on programming.
Generative AI Exposure
Generative AI is another important part of the internship.
The intern may work on creating personalized employee experiences, improving HR workflows and supporting decision-making using generative AI.
The role also involves exploring LLM-based use cases for workforce analytics. Candidates interested in applying modern AI techniques to business problems may therefore find this part of the position especially relevant.
Dashboards and Analytics
The internship also includes building self-service dashboards and visualizations that help stakeholders understand data and make decisions.
Along with dashboard development, the role involves:
- Data mining
- Exploratory data analysis
- Feature engineering
- Predictive analytics
- Working with structured and unstructured data
The focus is on turning analysis into insights that can actually be used by the business.
What Novartis Is Looking For
The listing asks for relevant experience in Data Science and a graduate or postgraduate background from a top-tier university in a quantitative discipline.
A strong foundation in statistical modelling and machine learning is particularly important.
Candidates should be comfortable with areas such as:
- Statistical modelling
- Machine learning
- Regression
- Classification
- Clustering
- Experimental design
- Statistical inference
Who Should Consider This Opportunity?
This internship is a strong match for candidates who enjoy combining statistics, machine learning and business problem-solving.
It can be especially relevant if you are interested in applying data science outside traditional software development and want to see how analytical models can be used for areas such as recruitment, employee experience and workforce planning.
Why This Internship Stands Out
One interesting aspect of the role is the combination of established data science methods with newer AI technologies.
Instead of working on only one type of model, the intern can gain exposure to predictive analytics, machine learning, LLMs, generative AI, dashboards and business analytics within a Human Resources environment.
That combination can provide a broader understanding of how data science is used to support real organizational decisions.
Before Applying
Review the complete Novartis job listing carefully and make sure your academic background and data science skills match the requirements.
If you are applying, your resume should clearly show relevant machine learning projects, statistical modelling work, data analysis experience and practical use of analytics tools where applicable.
Frequently Asked Questions
1. What is the role offered by Novartis?
Novartis is hiring for an Intern Data Science position.
2. Where is the Novartis Data Science Internship located?
The position is based at the Novartis Hyderabad office in India.
3. What is the job ID?
The job ID is REQ-10087679.
4. When was this position posted?
The listing shows September 9, 2026 as the posting date.
5. Which business area does the internship belong to?
The position belongs to the People & Organization division, within the Human Resources business unit.
6. What are the main areas of work?
The role covers data science, machine learning, statistical modelling, predictive analytics, dashboards, workforce analytics and generative AI.
7. What machine learning techniques are mentioned?
The listing mentions regression, classification, clustering, design of experiments and statistical inference. Examples of classification techniques include Trees, Random Forest, Boosting and SVM.
8. Is generative AI part of the internship?
Yes. The role includes exploring generative AI and LLM-based use cases for HR workflows and workforce analytics.
9. Will the intern work with real business problems?
Yes. The responsibilities include working on challenges related to employee engagement, recruitment optimization and predictive workforce planning.
10. Does the role involve dashboard development?
Yes. The intern will work on self-service dashboards and visualizations designed to provide useful insights to stakeholders.
11. What educational background is mentioned?
The listing asks for a graduate or postgraduate background in a quantitative discipline from a top-tier university.
12. What technical foundation is important for this role?
A strong understanding of statistical modelling and machine learning is important. Knowledge of regression, classification, clustering, experimental design and statistical inference is specifically mentioned.
13. Is this a software development internship?
No. The primary focus is Data Science and analytics, with applications in Human Resources and workforce-related business problems.
14. What kind of projects could the intern work on?
Projects may involve employee engagement, recruitment optimization, workforce planning, predictive models, dashboards and generative AI use cases.
15. What should candidates highlight on their resume?
Relevant data science projects, machine learning models, statistical analysis, predictive modelling, exploratory data analysis and AI/GenAI work should be highlighted where applicable.
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