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MoEngage logo — MoEngage Predictive Modelling Intern in Hyderabad, Telangana
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Predictive Modelling Intern

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Location

Hyderabad, Telangana

Work Mode

Hybrid

Duration

3 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Join MoEngage in Hyderabad as a Predictive Modelling Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on predictive modelling for business outcomes work. About the role As a Predictive Modelling Intern…

About MoEngage

MoEngage offers a mentor-led Predictive Modelling Intern in Hyderabad with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
Hyderabad, TelanganaVerified employer11 openings
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Skills Required

PythonRegression & ClassificationScikit-LearnFeature EngineeringModel Interpretability (SHAP)SQLStatistical AnalysisCross-ValidationBusiness MetricsData Visualisation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics), MCA or MBA (Analytics) who are based in or willing to work from Hyderabad. You should be keen to learn Python, Regression & Classification, Scikit-Learn 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

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

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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