InfoWeb Techno
Data Science Trainee – Student Opportunity
Skills
1 month ago
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Important information
Contract type:
Permanent, Freelance / Contract, Temporary, Part time, Internship
Location:
India
Work mode:
Remote
Published on:
29 September 2026
What they need
We are looking for 1st and 2nd-year students who are interested in building a career in Data Science, Python, and Machine Learning.
This opportunity is suitable for students who want to start developing their technical skills early and build a strong foundation for future internships and placement opportunities.
Eligibility
- Students currently pursuing 1st or 2nd year of B.Tech, B.E., BCA, B.Sc., Computer Science, IT, or related programs
- Strong interest in Data Science, Python, Data Analytics, or Machine Learning
- Freshers and students with no prior work experience can apply
- Basic programming knowledge is an advantage but not mandatory
- Willingness to learn and develop practical technical skills
Key Learning Areas
Selected candidates will be introduced to foundational skills relevant to a future Data Science career, including:
- Python Programming
- Data Handling and Processing
- NumPy and Pandas
- Data Analysis Fundamentals
- Basic Statistics
- Introduction to Machine Learning
- Problem Solving with Python
- Practical Projects
- Resume and Portfolio Development
What You Can Expect
- Beginner-friendly structured learning pathway
- Hands-on Python practice and projects
- Technical learning sessions
- Industry-relevant skills development
- Career guidance and interview preparation
- Resume and portfolio-building support
- Foundation for progressing toward advanced Data Science and Machine Learning roles
Who Should Apply?
This opportunity is ideal for early-year students who want to start preparing for a Data Science career before their final year.
If you are serious about developing your Python and technical foundation and want to prepare early for future career opportunities, we encourage you to apply.
Work Location: Remote
Pay: ₹15,000.00 - ₹20,000.00 per month
Work Location: Remote
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