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Birlasoft logo — Birlasoft ESG & Sustainability Data Science Intern in Kochi, Kerala
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ESG & Sustainability Data Science Intern

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Location

Kochi, Kerala

Work Mode

Hybrid

Duration

3 months

Stipend

₹15,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Science

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About the Internship

Join Birlasoft in Kochi as an ESG & Sustainability Data Science Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on sustainability and ESG analytics work. About the role As an ESG & Sustainability Data…

About Birlasoft

Birlasoft offers a mentor-led ESG & Sustainability Data Science Intern in Kochi with live project work in data science, a stipend of ₹15,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kochi, KeralaVerified employer4 openings
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Skills Required

PythonData AnalysisEmissions & ESG MetricsSQLExcelReporting Frameworks (GRI / BRSR)Data ValidationData VisualisationStatistical AnalysisReport Writing

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (Environmental / Chemical / CSE), M.Sc (Environmental Science / Statistics) or MBA who are based in or willing to work from Kochi. You should be keen to learn Python, Data Analysis, Emissions & ESG Metrics 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
15,000/month

Stipend · 3 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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