Two-Month Data Science Internship Opportunity Across India

CodeMore has opened applications for a full-time Data Science Internship available across Pan India. The program begins immediately and spans two months, offering practical exposure to core data science concepts.

Although the internship is unpaid, it is structured to provide hands-on experience with real-world datasets and industry-relevant tools, making it ideal for beginners and aspiring data professionals.

Learning Experience & Key Benefits

The internship focuses on building strong foundations in data analysis, statistical methods, and machine learning.

Interns will work on tasks such as data collection, cleaning, exploratory data analysis (EDA), feature engineering, and model building using Python and popular libraries.

Participants will benefit from guided projects, mentorship from experienced data scientists, and exposure to real-world problem-solving.

Key perks include an industry-recognized digital certificate, portfolio development through multiple projects, and hands-on training with standard tools.

Top performers may also receive exclusive rewards and recognition.

Eligibility & Openings

The opportunity is open to candidates from any academic background or specialization, provided they have relevant skills or a strong interest in data science. Applicants must be available for the full two-month duration.

With only two openings, the internship is expected to attract competitive applications from across the country.

How to Apply

Interested candidates for Data Science Internship can apply by submitting their application on AICTE Internship portal before August 27, 2026

Applicants should ensure they highlight relevant skills, projects, or coursework related to data science, analytics, or programming. Early applications are recommended due to limited seats.

This program gives clear, hands-on training with real data and simple tools. It stands out for its guided projects, direct support, and focus on basic skills. With only two seats, it offers a focused learning setup and a strong chance to build a solid start in data science.

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