Location
Pune, Maharashtra
Work Mode
Hybrid
Duration
6 months
Stipend
₹21,000/mo
Start Date
Immediate / Rolling
Openings
7 positions
Type
Full-time
Category
Machine Learning
About the Internship
TransUnion CIBIL is hiring a Predictive Analytics Intern in Pune — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to predictive analytics rather than a certificate-only programme.
About the role
As a Predictive Analytics Intern at TransUnion CIBIL…
About TransUnion CIBIL
TransUnion CIBIL offers a mentor-led Predictive Analytics Intern in Pune with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
See all TransUnion CIBILinternships →Pune, MaharashtraVerified employer7 openings
Apply to TransUnion CIBIL →Skills Required
PythonRegression ModelsTime Series ForecastingScikit-learnPandasSQLStatisticsFeature EngineeringModel EvaluationData Visualisation
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Statistics/Mathematics), B.Com/BBA or MBA who are based in or willing to work from Pune. You should be keen to learn Python, Regression Models, Time Series Forecasting 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 CertificateStructured onboarding and a formal mentor at a large, established employer
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
₹21,000/month
Stipend · 6 months
Openings7 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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