Swiggy

Fraud Detection ML Intern

InternshipHybridGreater Noida, Uttar Pradesh3 months20K/mo13 openingsImmediate / Rolling

About this internship

Join Swiggy in Greater Noida as a Fraud Detection ML Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on fraud and anomaly detection work. About the role As a Fraud Detection ML Intern at Swiggy, your…

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Skills you'll use

Anomaly DetectionPythonImbalanced Data TechniquesFeature EngineeringScikit-LearnSQLPrecision-Recall TradeoffsRule + Model HybridsModel ExplainabilityDomain Investigation

What you'll do

Work on catching fraudulent behaviour without blocking legitimate customers alongside the core team
Apply Anomaly Detection, Python, Imbalanced Data Techniques, Feature Engineering 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, MCA, M.Sc (Statistics / Data Science) or MBA (Analytics)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Anomaly Detection, Python, Imbalanced Data Techniques (or a genuine willingness to learn them)
Exposure to Feature Engineering, Scikit-Learn, SQL is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Greater Noida, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

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

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3Online aptitude / domain assessment
4HR discussion — stipend, start date, expectations and offer

About Swiggy

Swiggy operates in the food delivery & quick commerce sector and has an active presence in Greater Noida. 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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