DotPe
Data Science Intern
InternshipHybridAhmedabad, Gujarat2 months29K/mo4 openingsImmediate / Rolling
About this internship
Join DotPe in Ahmedabad as a Data Science Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data science work.
About the role
As a Data Science Intern at DotPe, your core focus will be building…
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Skills you'll use
PythonStatisticsMachine LearningPandas & NumPySQLData VisualisationHypothesis TestingScikit-learnJupyterBusiness Acumen
What you'll do
- Work on building predictive models and extracting insight from real datasets alongside the core team
- Apply Python, Statistics, Machine Learning, Pandas & NumPy 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 Ahmedabad, Gujarat
Perks & benefits
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & selection process
2 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
About DotPe
DotPe operates in the merchant commerce & payments sector and has an active presence in Ahmedabad. 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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