Tuesday, August 12, 2025

Paid Internship in Data Science, Stipend 10K/M, Apply by Aug 16

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The Data Science Internship program offers a well-rounded learning plan covering the key skills needed in the field. Participants will study programming in Python and R, along with mathematics and statistics for data analysis.

The course also includes machine learning, data visualization, and database management. It goes further by introducing big data tools, data mining, natural language processing, and deep learning.

Ethical issues and data privacy are included to prepare learners for handling sensitive information responsibly.

Program Benefits

  • Hands-on experience with real projects
  • Building professional contacts
  • Stronger resume with proven skills
  • Development of industry-relevant abilities

Eligibility

  • Open to all backgrounds and fields of study
  • Must be available for 3 months
  • Should have related skills or a strong interest in data science

Terms

Designed for students or recent graduates looking for practical exposure through a short-term role. It’s an opportunity to apply classroom learning in real situations.

Number of Openings

10 positions are available.

The program is built to give participants both technical knowledge and real-world experience. By the end, they will have worked with industry tools, applied advanced methods, and gained insight into the demands of a data science role.

With demand for skilled data experts growing, this program offers a solid start. Combining technical training, project work, and networking makes it a strong platform for future career steps.

Applications are accepted on a rolling basis. Selected candidates will join a team-based learning setup, contribute to active projects, sharpen technical skills, and build confidence in applying them.

Interested candidates can visit the AICTE Internship Portal and apply by Aug 16, 2026

This is a short-term program with long-term career benefits, helping learners turn theory into practice in a professional setting.


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