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Gnani.ai logo — Gnani.ai Geospatial Data Science Intern in Indore, Madhya Pradesh
Gnani.ai VerifiedActively Hiring

Geospatial Data Science Intern

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Location

Indore, Madhya Pradesh

Work Mode

Hybrid

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Data Science

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Gnani.ai is hiring a Geospatial Data Science Intern in Indore — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to geospatial analytics rather than a certificate-only programme. About the role As a Geospatial Data Science Intern at Gnani.ai, your core…

About Gnani.ai

Gnani.ai offers a mentor-led Geospatial Data Science Intern in Indore with live project work in data science, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Indore, Madhya PradeshVerified employer9 openings
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Skills Required

Python (GeoPandas)QGIS / ArcGISSpatial AnalysisSQL & PostGISMapping & VisualisationCoordinate SystemsRouting & Catchment AnalysisRemote Sensing BasicsData CleaningStatistical Analysis

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (Civil / CSE / Geoinformatics), M.Sc (Geography / Geoinformatics / Statistics) or MBA who are based in or willing to work from Indore. You should be keen to learn Python (GeoPandas), QGIS / ArcGIS, Spatial Analysis 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
23,000/month

Stipend · 6 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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