Data Science Intern
Company: Nexal IIT
Location: Remote
Duration: Up to 6 months
Stipend: Up to ₹10,000 Performance Based
Batch Start Date: 5th September
About the Program
At Nexal IIT, we're doing things differently. This isn't a traditional job or a standard internship—it’s an open collaboration program designed for aspiring Data Scientists to gain hands-on, real-world experience. If you are self-taught, a boot-camp graduate, a student, or transitioning careers, this is a space for you to work with real datasets, solve practical problems, build data-driven projects, and learn by doing alongside our team.
What You’ll Do
Collect & Analyze Data: Work with structured and unstructured datasets to identify meaningful patterns, trends, and insights.
Clean & Prepare Data: Process, clean, and organize datasets to prepare them for analysis and model development.
Build Data Science Projects: Work on practical projects involving data analysis, predictive modeling, and real-world problem-solving.
Develop Machine Learning Models: Learn to build, train, test,



and evaluate basic machine learning models using relevant tools and techniques.
Visualize Data & Insights: Create meaningful visualizations and reports to communicate findings clearly and effectively.
Collaborate on Projects: Use industry-relevant tools and work with team members while receiving feedback and guidance from mentors.
Who You Are
Passionate about Data Science and eager to learn (no specific technical or computer science degree required).
Basic understanding of data analysis, statistics, or programming concepts.
Familiar with Python or interested in learning Python for data analysis and Data Science.
Basic knowledge of mathematics, statistics, or machine learning concepts is an advantage.
Bonus Points: If you have hands-on experience with Python, Pandas, NumPy, Matplotlib, Scikit-learn, SQL, Jupyter Notebook, or data visualization tools.
Curious, analytical, driven, and comfortable asking questions.
What You Get

📌 Data Scientist (India)
🏢 Nexal IIT
📍 India