Data Scientist

Data Science Intern

Company: Nexal IIT

Location: Remote

Duration: Up to 6 months

Stipend: Up to ₹10,000 Performance Based

Batch Start Date:10th September

About the Program

At Nexal IIT, were doing things differently. This isnt a traditional job or a standard internship—its 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 Youll 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.

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  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

• Remote & Flexible: Contribute from anywhere, on a schedule that works for you.
• Real Portfolio Projects: Work on practical datasets, data analysis projects, machine learning models, and data-driven solutions that can strengthen your portfolio.
• Direct Mentorship: Get valuable feedback, guidance, and support from our mentors and team members.
• Hands-On Experience: Gain practical exposure to industry-relevant Data Science tools, workflows, and real-world problem-solving.
• Proof of Impact: A certificate of completion and a strong letter of recommendation for active contributors.

Application Deadline: 7th September. Fill the form and join our WhatsApp community for the joining process.