Intern AI & Data Science

Novartis is hiring an Intern AI & Data Science in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Internship focused on building data-driven pipelines, machine learning models, and emerging generative and agentic AI solutions.

pythonsqlpysparkawsazuregcpgit

nlpmachine-learninggenerative-aidata-engineeringagentic-aidata-pipelines

Job Description Summary

The AI & Data Science Operations team works on building data-driven and AI-powered solutions to improve business decision-making at scale.
As an MTech Intern, you will work closely with data engineers and domain SMEs on real-world data, pipelines, and AI prototypes, gaining hands-on exposure to data engineering, machine learning, and emerging GenAI use cases.
This internship is designed to provide strong industry grounding, not just academic experimentation.

Job Description

Key Responsibilities

Assist in data preparation, transformation, and analysis using SQL and Python/PySpark
Write and optimize SQL queries to extract and analyze data from structured datasets
Support development of data pipelines and feature engineering workflows
Assist in building and testing Agentic AI modules under guidance (including GenAI use cases)
Work with senior team members to prototype Agentic AI or GenAI-driven solutions
Perform data quality checks and basic validation of datasets
Document learnings, code, and analysis in a clear and structured manner
Collaborate with team members following Agile / sprint-based execution

Required Qualifications

Currently pursuing MTech / MS in:
- Computer Science with Data Science/AI as subjects
- Or a closely related field

Core Technical Skills

SQL – writing queries, joins, aggregations
Python – data processing, basic scripting
Exposure to PySpark or Spark SQL (coursework or projects is sufficient)
Basic understanding of:
- Data structures
- Databases
- Data processing concepts

Fundamentals of Machine Learning (regression, classification, basic evaluation metrics)
Awareness of Large Language Models (LLMs), Generative AI concepts, Agentic AI
Any academic or personal project involving:
- ML models
- NLP
- Chatbots
- AI prototypes

Hands-on depth is not expected—curiosity and willingness to learn is.

Preferred

Exposure to cloud platforms (AWS / Azure / GCP) through coursework or labs
Experience with Git / version control
Experience working on college projects, hackathons, or research work
Strong analytical thinking and problem-solving mindset

Soft Skills & Mindset

Strong learning orientation and curiosity
Ability to break down problems and ask the right questions
Clear communication of ideas and findings
Comfortable working in a team-based environment

What the Intern Will Gain

Hands-on exposure to real enterprise data and use cases
Practical experience in SQL, Python, PySpark, and data pipelines
Introduction to AI/ML and GenAI applications in industry
Mentorship from experienced Data Scientists and Engineers

Skills Desired

How we rate this

Intern AI & Data Science at Novartis rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Intern AI & Data Science is an open job at Novartis.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Hyderabad (Office).
The job was posted on October 16, 2026.
Seniority: intern.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPMachine learningGenerative AIData EngineeringAgentic AIData PipelinesPythonSQL

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Machine learning, Generative AI, Data Engineering, and Agentic AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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