Applied Data Science - Internship (Part Time)

About the internship:Apply data science concepts to practical datasets and project scenarios. The internship focuses on turning raw data into useful observations through analysis and visualization.

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

1. Work with real-world-style datasets.

2. Clean and transform data.

3. Conduct exploratory analysis.

4. Build visual reports.

5. Identify meaningful patterns.

6. Work on applied data science 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 2nd Oct'26 and 6th Nov'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

Apply data science concepts to practical datasets and project scenarios. The internship focuses on turning raw data into useful observations through analysis and visualization.

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

1. Work with real-world-style datasets.

2. Clean and transform data.

3. Conduct exploratory analysis.

4. Build visual reports.

5. Identify meaningful patterns.

6. Work on applied data science projects.