Data Science Intern

About the Role

ArcelorMittal Digital Consulting (AMDC) is seeking passionate Data Science Interns to apply data-driven thinking, analytics, machine learning, and AI to solve practical business problems and create measurable impact.

Project Areas

Depending on project requirements, you may get exposure to:

• Data Science & Advanced Analytics
• Working with structured and unstructured datasets to derive actionable insights.
• Performing exploratory data analysis (EDA) and data visualization.
• Identifying trends, patterns, and opportunities for data-driven decision-making.
• Machine Learning & Artificial Intelligence
• Building and evaluating predictive and classification models.
• Applying machine learning techniques to solve real-world business problems.
• Exploring model optimization, feature engineering, and performance improvement.
• Business Intelligence & Data Visualization
• Creating dashboards and reports using modern analytics tools.
• Transforming raw data into meaningful business insights.
• Supporting stakeholders with data-backed recommendations and reporting.
• Generative AI & Intelligent Solutions
• Exploring applications of Generative AI and Large Language Models (LLMs).
• Developing AI-powered prototypes for automation and knowledge discovery.
• Supporting use cases involving intelligent search, summarization, and decision support.

Key Responsibilities

• Implicit responsibilities derived from project areas listed above.

Requirements & Tech Stack

• Python
• SQL
• Machine Learning
• Statistics
• Data Analytics
• Visualization tools
• Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar technologies is a plus.

Qualifications

• B.Tech/B.E. graduates in Computer Science, Information Technology, Data Science, Artificial Intelligence, Statistics, Mathematics, or related disciplines.
• Candidates with academic projects, internships, or hands-on exposure in Data Science, Machine Learning, AI, Analytics, or Generative AI.
• Foundational knowledge of Python, SQL, Machine Learning, Statistics, Data Analytics, and Visualization tools.
• Strong analytical thinking, problem-solving skills, and curiosity to learn.
• Eligibility: B.Tech Graduates (2026 Pass-outs)

Internship Details

• Internship Duration: 6 Months
• Location: As per the Project