Infosys

Data Science Intern

InternshipWork from HomeHyderabad, Telangana6 months33K/mo4 openingsImmediate / Rolling

About this internship

Start your career in data science with Infosys as a Data Science Intern in Hyderabad. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Data Science Intern at Infosys, your core focus will be extracting…

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Skills you'll use

PythonSQLStatisticsMachine LearningPandasData VisualisationPower BI / TableauHypothesis TestingExcelStorytelling with Data

What you'll do

Work on extracting insight and building predictive models from real data alongside the core team
Apply Python, SQL, Statistics, Machine Learning 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, SQL, Statistics (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 Hyderabad, Telangana

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

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 Infosys

Infosys operates in the it services sector and has an active presence in Hyderabad. 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…

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