WazirX

Data Science Intern

InternshipIn OfficeMumbai, Maharashtra4 months20K/mo1 openingImmediate / Rolling

About this internship

WazirX has an open Data Science Intern position in Mumbai 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 WazirX, your core focus will be…

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Skills you'll use

PythonStatisticsMachine LearningPandas & NumPySQLScikit-learnHypothesis TestingData VisualisationJupyterBusiness Acumen

What you'll do

Work on building predictive models and experiments on real product data 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 Mumbai, Maharashtra

Perks & benefits

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment
3HR discussion — stipend, start date, expectations and offer

About WazirX

WazirX operates in the crypto & web3 sector and has an active presence in Mumbai. 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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