Location
Gurugram, Haryana
Work Mode
Hybrid
Duration
2 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
9 positions
Type
Full-time
Category
Machine Learning
About the Internship
Pocketly is hiring a Fraud Detection ML Intern in Gurugram — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to fraud and anomaly detection rather than a certificate-only programme.
About the role
As a Fraud Detection ML Intern at Pocketly, your core…
About Pocketly
Pocketly offers a mentor-led Fraud Detection ML Intern in Gurugram with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Pocketlyinternships →Gurugram, HaryanaVerified employer9 openings
Apply to Pocketly →Skills Required
Anomaly DetectionPythonImbalanced Data TechniquesFeature EngineeringScikit-LearnSQLPrecision-Recall TradeoffsRule + Model HybridsModel ExplainabilityDomain Investigation
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech, MCA, M.Sc (Statistics / Data Science) or MBA (Analytics) who are based in or willing to work from Gurugram. You should be keen to learn Anomaly Detection, Python, Imbalanced Data Techniques on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate
Interview & Selection Process
4 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
- 3Team-fit / behavioural interview with the team
- 4HR discussion — stipend, start date, expectations and offer
₹25,000/month
Stipend · 2 months
Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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