About the program

This internship offers students a hands-on opportunity to work on real-world Data Science and Machine Learning projects at Devverse. Interns will learn essential skills in data cleaning, data visualisation, exploratory data analysis, and building predictive models. The internship is structured to help students understand how data-driven decision-making works in industry and how Machine Learning models are applied to solve practical problems. During the internship, students will work with datasets, apply Python-based data science libraries, generate insights, prepare dashboards, and contribute to ongoing organisational projects. Interns will also participate in live training sessions, mentor-guided tasks, and collaborative assignments that simulate real industry workflows. The program includes modules on Python programming, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, supervised and unsupervised learning, model evaluation, and basic deployment concepts. Students will complete weekly tasks, attend project reviews, and submit a final project that demonstrates their learning. By the end of the internship, students will gain practical experience in data analysis, hands-on exposure to tools used by Data Scientists, improved problem-solving skills, and industry-ready project experience. This internship is ideal for students pursuing Computer Science, IT, AI, Data Science, Electronics, or any technical degree with an interest in analytics and Machine Learning.

Perks

Certificate from Devverse Letter of Recommendation based on performance Hands-on project experience Interaction with industry mentors Flexible remote work Access to course materials and live training sessions Opportunity to build portfolio projects

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 6 Weeks
4. have relevant skills and interests

Terms of Engagement

Interns must attend all scheduled training sessions and complete weekly tasks. Interns are required to work on assigned data science projects and submit work on time. Interns must maintain professionalism, discipline, and timely communication. Final project submission is mandatory for successful completion. The internship is strictly educational and does not guarantee employment. Interns must follow all organizational guidelines and maintain data confidentiality.

Number of openings

10