
Gramener
Data Science Intern
InternshipWork from HomeVisakhapatnam, Andhra Pradesh3 months26K/mo2 openingsImmediate / Rolling
About this internship
Gramener has an open Data Science Intern position in Visakhapatnam for motivated freshers and final-year students. You will work on live data science projects and finish with something you can genuinely talk about in interviews.
About the role
As a Data Science Intern at Gramener, your core focus…
Skills you'll use
PythonStatisticsMachine LearningPandasSQLData VisualisationHypothesis TestingScikit-learnJupyterBusiness Acumen
What you'll do
- Work on extracting insight and building predictive models from real datasets alongside the core team
- Apply Python, Statistics, Machine Learning, Pandas to live, production-facing problems
- Document your work clearly for reviewers and stakeholders
- Participate in reviews and act on the feedback you receive
- Collaborate across engineering, product, design or business as required
- Follow the team's quality, testing and documentation standards
Who can apply
- Pursuing or recently completed B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) — 2026 freshers & final-year students welcome
- Working knowledge of Python, Statistics, Machine Learning (or a genuine willingness to learn them)
- Strong fundamentals in your discipline and clear problem-solving ability
- Care with detail and the discipline to document your work
- Clear written and verbal communication in English
- Based in or willing to work from Visakhapatnam, Andhra Pradesh
Perks & benefits
Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience
Interview & selection process
2 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
About Gramener
Gramener operates in the data science & analytics sector and has an active presence in Visakhapatnam. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…
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