Data Management Intern

Data management Interns 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 Experience Level Entry Level