Mu Sigma

Data Science Intern

InternshipHybridPune, Maharashtra2 months42K/mo4 openingsImmediate / Rolling

About this internship

Join Mu Sigma in Pune 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 Mu Sigma, your core focus will be extracting…

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 Pune, Maharashtra

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment

About Mu Sigma

Mu Sigma operates in the data science & analytics sector and has an active presence in Pune. 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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