Novartis is recruiting a Data Science Intern in Hyderabad, India, offering an early-career opportunity to work on real-world projects involving machine learning, predictive analytics, generative AI, large language models and workforce analytics.
The position was posted on September 9, 2026, under Job ID REQ-10087679 and is listed as a full-time, fixed-term early-career position within Novartis’ People & Organization division.
Unlike a general technology internship, this role combines data science with Human Resources and workforce strategy. The successful candidate could work on challenges involving recruitment optimization, employee engagement, workforce planning and AI-powered employee experiences.
Novartis Data Science Internship 2026 Overview
| Detail | Information |
|---|---|
| Company | Novartis |
| Position | Intern Data Science |
| Job ID | REQ-10087679 |
| Country | India |
| Location | Hyderabad |
| Workplace | Hyderabad Office |
| Division | People & Organization |
| Business Unit | Human Resources |
| Employment Type | Early Career – Fixed Term |
| Working Hours | Full time |
| Shift Work | No |
| Posted | September 9, 2026 |
| Main Area | Data Science / Workforce Analytics |
| AI Exposure | Machine Learning, Generative AI and LLMs |
| Salary | Not stated in the vacancy |
| Deadline | Not stated in the vacancy |
| Current Status | Listed in Novartis career search |
What Is the Novartis Data Science Internship?
This internship gives an early-career data scientist the opportunity to apply technical skills to real business problems within Novartis.
The company says the intern will work on challenges involving:
- Employee engagement
- Recruitment optimization
- Predictive workforce planning
- Generative AI
- Workforce strategy
- Employee experience
- Location strategy
- HR decision-making
The role goes considerably beyond basic reporting.
The successful intern is expected to develop models, dashboards and analytical frameworks capable of influencing enterprise-level decisions.
What Will the Data Science Intern Do?
The intern will support the development of data-driven solutions addressing workforce and organizational challenges.
Responsibilities include applying statistical and machine-learning techniques, developing predictive models, conducting exploratory analysis and creating dashboards for stakeholders.
The intern may also support research and development of:
- New algorithms
- Statistical models
- Analytical methods
- Business models
- Structured-data analysis
- Unstructured-data analysis
Opportunities Feed Insight
This makes the vacancy particularly interesting for candidates trying to move beyond academic data-science projects.
The role provides an opportunity to demonstrate how techniques such as machine learning can be connected to actual organizational decisions.
Machine Learning Skills Used in the Internship
Novartis specifically identifies several statistical and machine-learning techniques.
These include:
Regression
including GLM and nonlinear approaches.
Classification
including:
- Decision trees
- Random forests
- Boosting
- Support vector machines
- CART
Candidates should also understand:
- Clustering
- Design of experiments
- Statistical inference
Work With Generative AI
Generative AI is explicitly included in the internship.
The intern may explore how generative AI can be used to:
- Personalize employee experiences
- Improve HR workflows
- Support organizational decision-making
This gives the role a particularly timely AI component.
Work With Large Language Models
Novartis also states that the intern will explore and prototype:
LLM-based use cases
for workforce analytics.
Opportunities Feed Assessment
This is one of the strongest aspects of the vacancy for candidates interested in modern applied AI.
Rather than listing generative AI as a general desirable skill, Novartis specifically identifies experimentation with LLM use cases as part of the work.
Applicants with projects involving LLMs, NLP, retrieval systems, prompt engineering or generative-AI applications should therefore consider making relevant experience easy to identify on their CV.
Do not claim expertise you do not have, however.
Predictive Workforce Analytics
Another important part of the role involves developing predictive models.
Novartis identifies areas including:
- Talent acquisition
- Employee experience
- Location strategy
- Workforce planning
This means candidates should understand how predictive models can support actual business decisions rather than focusing exclusively on model accuracy.
Data Mining and Exploratory Data Analysis
The internship includes:
data mining + exploratory data analysis + feature engineering.
These are fundamental data-science skills.
Candidates should therefore be prepared to demonstrate experience working with imperfect real-world datasets rather than only clean classroom datasets.
Dashboard Development
The successful intern will also develop:
self-service dashboards and visualizations
designed to provide stakeholders with real-time insights.
Opportunities Feed Insight
This is an important clue for applicants.
The vacancy is not looking only for someone capable of building machine-learning models.
It also requires an ability to turn analysis into information that non-technical stakeholders can actually use.
If you have dashboard experience, consider highlighting it.
Who Can Apply?
Novartis states that candidates should have:
- Relevant experience in Data Science
- Graduate or postgraduate education from a top-tier university
- A quantitative academic background
- Statistical modelling skills
- Machine-learning knowledge
The advertisement does not specify one mandatory named degree.
Suitable Academic Backgrounds
Depending on the candidate’s actual training, relevant quantitative disciplines could potentially include areas such as:
- Data Science
- Statistics
- Mathematics
- Computer Science
- Artificial Intelligence
- Machine Learning
- Econometrics
- Engineering
- Other quantitative disciplines
However, this broader list is an Opportunities Feed interpretation of what may constitute a quantitative discipline, not an official Novartis list.
Applicants should assess their qualification against the wording of the actual vacancy.
Is a Master’s Degree Required?
Not necessarily based on the wording provided.
Novartis says:
“Post-graduate or Graduate”
from a top-tier university in a quantitative discipline.
Therefore, the advertisement does not state that every applicant must hold a Master’s degree.
Can Bachelor’s Graduates Apply?
Potentially.
The listing explicitly refers to:
Graduate or Post-graduate
candidates.
Applicants must still satisfy the relevant data-science experience and technical requirements.
Do You Need Data Science Experience?
Yes.
Novartis explicitly asks for:
relevant experience in Data Science.
The advertisement does not state a minimum number of years.
Opportunities Feed Advice
Candidates should therefore use projects, internships, academic research or relevant employment to demonstrate practical data-science capability where appropriate.
Simply listing:
“Machine Learning”
under a skills section may not be persuasive enough.
Show what you actually built.
Technical Skills to Highlight
Based directly on the vacancy, candidates should prioritize relevant experience with:
- Statistical modelling
- Regression
- Generalized linear models
- Nonlinear modelling
- Classification
- Decision trees
- Random forests
- Boosting
- Support vector machines
- CART
- Clustering
- Design of experiments
- Statistical inference
- Predictive analytics
- Exploratory data analysis
- Feature engineering
- Data mining
- Generative AI
- Large language models
- Data visualization
What About Python?
The vacancy text supplied does not explicitly list Python as a mandatory requirement.
Python would clearly be relevant to many of the stated data-science tasks, but applicants should not rewrite the official requirements as:
“Python required”
unless Novartis adds that requirement elsewhere in the application.
The same caution applies to SQL, R, Power BI and Tableau.
Is Power BI Required?
The vacancy mentions:
dashboards and visualizations
but does not name Power BI as a mandatory tool.
Candidates with Power BI, Tableau or comparable visualization experience can still highlight relevant work.
Is SQL Required?
SQL is not explicitly identified as a mandatory skill in the supplied advertisement.
Does the Role Involve HR Data?
Yes.
The internship sits within:
People & Organization / Human Resources.
The use cases described are strongly connected to people analytics and workforce decision-making.
Is This a Pharmaceutical Research Internship?
Not in the conventional laboratory sense.
Although Novartis is a pharmaceutical company, this particular internship sits within Human Resources and focuses on:
data science + people analytics + workforce strategy + AI.
Opportunities Feed Clarification
Candidates should not assume they need a pharmaceutical, medical or biological sciences background based solely on the Novartis brand.
The listed educational requirement is a:
quantitative discipline.
Is This an AI Internship?
It is officially titled:
Intern Data Science.
However, AI forms a substantial component of the advertised responsibilities.
The intern can gain exposure to:
machine learning + predictive analytics + generative AI + LLMs.
For SEO purposes, describing it as a data-science internship involving AI is accurate.
Calling the official job title simply:
“AI Intern”
would not be.
Where Is the Internship Located?
The position is based at the:
Novartis Hyderabad Office, India.
Is It Remote?
The vacancy identifies:
Hyderabad (Office)
as the site.
It does not advertise the position as a remote internship.
Applicants should therefore not assume that they can perform the internship from another country.
Is It Full Time?
Yes.
The listing identifies the job type as:
Full time.
Is It a Permanent Job?
No.
The employment type is:
Early Career (Fixed Term).
Does the Internship Require Shift Work?
No.
The listing explicitly states:
Shift Work: No.
How Much Does the Novartis Data Science Internship Pay?
The vacancy does not provide a salary or stipend amount.
Opportunities Feed Warning
Do not invent a monthly stipend based on salaries reported for other Novartis internships or employee positions.
Compensation can differ by:
- Country
- Location
- Job type
- Internship structure
- Business unit
Until Novartis publishes a figure for REQ-10087679, the correct description is:
salary/compensation not stated in the vacancy.
Are Benefits Included?
Novartis links candidates to its general Benefits and Rewards information.
However, the vacancy does not provide a specific package exclusively for this internship.
Candidates should therefore avoid assuming that every benefit available to permanent employees automatically applies to a fixed-term intern.
Is Relocation Support Provided?
The advertisement does not state that relocation assistance is provided.
Is Accommodation Provided?
No accommodation benefit is specified.
Are Flights Covered?
The vacancy does not state that travel or airfare is covered.
Does Novartis Provide Visa Sponsorship?
The supplied vacancy does not state that visa sponsorship is available.
Opportunities Feed Warning
Do not market this vacancy as:
“Open Worldwide With Visa Sponsorship.”
Novartis is a global company, but this specific job is located in India and no universal sponsorship commitment appears in the vacancy.
Can International Applicants Apply?
The vacancy does not state a nationality restriction in the text provided.
However, it also does not state that international candidates without Indian work authorization will receive sponsorship.
International candidates should verify their right to work and any immigration requirements during the application process.
What Is the Application Deadline?
Novartis does not state a closing date in the vacancy information reviewed.
This matters because corporate vacancies can close after the required candidate pipeline has been reached.
Opportunities Feed Advice
Since the position was posted on:
September 9, 2026
and remains visible in the current Novartis India career search, interested candidates should consider applying promptly rather than waiting for an unpublished deadline.
How to Strengthen Your Application
For this particular internship, a generic data-science CV is unlikely to showcase the strongest fit.
Candidates should make relevant projects highly visible.
Strong examples could include:
Predictive modelling
Show a project where you predicted a measurable outcome and explain the model and evaluation approach.
Classification
Demonstrate experience with random forests, boosting, SVMs or related approaches.
Clustering
Show how you used unsupervised learning to discover meaningful groups or patterns.
Dashboard development
Include a dashboard that helped someone make decisions rather than simply displaying charts.
Generative AI
Describe a genuine application you built using generative AI or LLMs.
EDA and feature engineering
Explain how you transformed raw data into meaningful model inputs.
A Strong Portfolio for This Role
A portfolio aligned with the vacancy could contain three complementary projects:
Project 1 — Predictive Workforce Analytics
Build a model examining employee retention, recruitment outcomes or another workforce problem using an appropriate public dataset.
Project 2 — Interactive Analytics Dashboard
Turn workforce or organizational data into a decision-focused dashboard.
Project 3 — LLM/Generative AI Application
Build a responsible generative-AI prototype that solves a clearly defined organizational problem.
Opportunities Feed Insight
Three highly relevant projects can tell a stronger story than ten unrelated notebooks.
The objective is to make a recruiter quickly understand:
“This candidate has already practised the kinds of problems our internship addresses.”
CV Mistakes to Avoid
Avoid:
- Listing algorithms without showing where you used them
- Calling yourself an LLM expert based solely on prompting ChatGPT
- Including dashboards without explaining their business purpose
- Giving no measurable project outcomes
- Hiding technical projects at the bottom of the CV
- Claiming tools that the vacancy does not require as official Novartis requirements
- Assuming the role is remote
- Assuming visa sponsorship
- Publishing an invented salary
- Waiting for a deadline that Novartis has not published
How to Apply
Candidates should apply through the official Novartis career listing for:
Intern Data Science — REQ-10087679.
The vacancy provides an:
Apply to Job
button leading to the Novartis Workday recruitment system.
Applicants should use the official recruitment route rather than sending applications to unofficial email addresses.
Frequently Asked Questions
What is the job title?
Intern Data Science.
What is the Job ID?
REQ-10087679.
Where is the internship?
Hyderabad, India.
When was it posted?
September 9, 2026.
Is it full time?
Yes.
Is it permanent?
No. It is listed as an Early Career (Fixed Term) position.
Which department is hiring?
People & Organization / Human Resources.
Does the internship involve machine learning?
Yes.
Regression, classification, clustering and other statistical and machine-learning methods are explicitly mentioned.
Does it involve generative AI?
Yes.
Will interns work with LLMs?
Yes. Novartis specifically mentions prototyping LLM-based workforce-analytics use cases.
Does the role involve dashboards?
Yes.
The intern will work on self-service dashboards and visualizations.
Is Python required?
The supplied advertisement does not explicitly state that Python is mandatory.
Is SQL required?
It is not explicitly listed as a mandatory skill in the supplied vacancy.
Is a Master’s degree required?
The advertisement says Graduate or Post-graduate, so it does not establish a Master’s degree as universally mandatory.
Is the internship remote?
The vacancy lists Hyderabad (Office) and does not advertise the position as remote.
Is visa sponsorship provided?
The vacancy does not state that sponsorship is provided.
What is the salary?
No salary figure is stated in the vacancy.
What is the deadline?
No specific application deadline is stated.
Opportunities Feed Verdict
The Novartis Data Science Internship in Hyderabad is a particularly relevant early-career opportunity for graduates interested in combining traditional data science with the rapidly expanding areas of:
machine learning + generative AI + large language models + predictive analytics.
The position is also unusual because these technologies are being applied to workforce problems rather than pharmaceutical research alone.
Successful candidates could work on:
recruitment optimization, employee experience, predictive workforce planning, location strategy, dashboards and AI-powered HR workflows.
For applicants building careers in applied data science, the combination of predictive modelling, visualization and LLM experimentation makes this vacancy worth serious consideration.
However, candidates should keep several limitations in mind.
The vacancy does not publish:
a salary + application deadline + universal visa sponsorship + relocation package + accommodation benefit.
It is also specifically listed at the:
Hyderabad office in India
rather than as a global remote internship.
The position was posted on September 9, 2026, and is currently visible in Novartis’ India career search.
Candidates who meet the requirements should therefore apply through the official Novartis recruitment system while the vacancy remains available.
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