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Intern AI & Data Science

Overview
Novartisnovartis.comPosted 2 weeks ago
Hyderābād, Telangana, INمن مقر العمل
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مستوى الخبرة
Entry
نوع الوظيفة
تدريب
التخصص
Data science

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

Requirements

  • 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.

  • 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
  • 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 environmentWhat 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

Key skills

  • Data Science
  • Data Engineering
  • Machine Learning
  • Generative AI
  • SQL
  • Python
  • Apache Spark
  • Agile
  • LLM
  • Natural Language Processing
  • AWS
  • Azure
  • Google Cloud
  • Git

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.