Data Science - Internship (Part Time)

About the internship:Develop practical data science skills through Python-based data analysis, data preparation, visualization, and introductory machine learning projects.

Selected intern's day-to-day responsibilities include:

1. Collect and prepare datasets for analysis.

2. Perform exploratory data analysis to identify patterns and insights.

3. Clean, transform, and organize data for further analysis.

4. Create clear and meaningful data visualizations.

5. Apply basic statistical techniques to analyze datasets.

6. Work on practical data science and introductory machine learning projects.Who can apply:Only those candidates can apply who:are available for the part time job/internshipcan start the part time job/internship between 25th Sep'26 and 30th Oct'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 3,001 - 7,002 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, Statistics, Data Visualization, NumPy and PandasAbout Company:Gradtwin is a student-focused organization committed to helping students and fresh graduates build practical skills, gain real-world experience, and explore career opportunities.

We offer internship opportunities across diverse domains, including technology, data, healthcare, marketing, human resources, and business, enabling students to work on real-world projects and develop industry-relevant skills.

At Gradtwin, interns get the opportunity to learn through hands-on experience, collaborate with teams, take on meaningful responsibilities, and strengthen their resumes and professional portfolios. We welcome students, fresh graduates, and aspiring professionals who are eager to learn, contribute, and grow.

Join Gradtwin to learn, gain experience, build your skills, and take your first step toward a successful career.Additional information:

Stipend Structure:

Fixed pay: ₹ 3,000 - 7,000 /month

Incentive pay: ₹ 1 - 2 /month

Responsibilities

Develop practical data science skills through Python-based data analysis, data preparation, visualization, and introductory machine learning projects.

Selected intern's day-to-day responsibilities include:

1. Collect and prepare datasets for analysis.

2. Perform exploratory data analysis to identify patterns and insights.

3. Clean, transform, and organize data for further analysis.

4. Create clear and meaningful data visualizations.

5. Apply basic statistical techniques to analyze datasets.

6. Work on practical data science and introductory machine learning projects.