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Salary
≈ $8.5k – $17k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026. Novartis scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Novartis is a Swiss pharmaceutical company created in 1996 by the merger of Ciba-Geigy and Sandoz, two Basel chemical and drug houses with roots in the nineteenth century. It has spent the past decade narrowing itself into a pure innovative medicines business, spinning off its generics arm as Sandoz in 2023 and its eye care business as Alcon in 2019, and now concentrates on cardiovascular, immunology, neuroscience and oncology, including radioligand therapies and gene therapy. Headquartered in Basel and listed in Zurich and New York, it is among the largest research spenders in the industry.

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

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