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Clean Science and Technology logo — Clean Science and Technology Data Scientist Intern in Navi Mumbai, Maharashtra
Clean Science and Technology VerifiedActively Hiring

Data Scientist Intern

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Location

Navi Mumbai, Maharashtra

Work Mode

Hybrid

Duration

3 months

Stipend

₹32,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹32,000/moApply on Company Website ↗

About the Internship

Join Clean Science and Technology in Navi Mumbai as a Data Scientist Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data science and predictive modelling work. About the role As a Data Scientist…

About Clean Science and Technology

Clean Science and Technology offers a mentor-led Data Scientist Intern in Navi Mumbai with live project work in data science, a stipend of ₹32,000/month and a Pre-Placement Offer opportunity for strong performers.
Navi Mumbai, MaharashtraVerified employer2 openings
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Skills Required

Predictive ModelingA/B TestingPython / RDeep LearningStatistical AnalysisSQLPandas & NumPyData VisualisationHypothesis TestingBusiness Storytelling

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics / Data Science), BCA/MCA or MBA (Analytics) who are based in or willing to work from Navi Mumbai. You should be keen to learn Predictive Modeling, A/B Testing, Python / R 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

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
32,000/month

Stipend · 3 months

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Openings2 positions
Applicants11 applied
ModeHybrid
CategoryData Science
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