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Hyperface logo — Hyperface Time Series Forecasting Intern in Kanpur, Uttar Pradesh
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Time Series Forecasting Intern

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Location

Kanpur, Uttar Pradesh

Work Mode

Hybrid

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

Join Hyperface in Kanpur as a Time Series Forecasting Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on forecasting and demand prediction work. About the role As a Time Series Forecasting Intern at…

About Hyperface

Hyperface offers a mentor-led Time Series Forecasting Intern in Kanpur with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kanpur, Uttar PradeshVerified employer15 openings
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Skills Required

PythonTime Series AnalysisARIMA & ProphetFeature EngineeringPandasStatisticsModel EvaluationSQLVisualisationGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Kanpur. You should be keen to learn Python, Time Series Analysis, ARIMA & Prophet 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. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 2 months

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Openings15 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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