Apple

Data Science Intern

InternshipHybridGuwahati, Assam2 months31K/mo1 openingImmediate / Rolling

About this internship

Join Apple in Guwahati 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 Apple, 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 Guwahati, Assam

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & selection process

3 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
3HR discussion — stipend, start date, expectations and offer

About Apple

Apple operates in the technology sector and has an active presence in Guwahati. 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 distance. The work runs…

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