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Sprinklr logo — Sprinklr Growth Data Science Intern in Nashik, Maharashtra
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Growth Data Science Intern

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Location

Nashik, Maharashtra

Work Mode

Work from Home

Duration

3 months

Stipend

₹30,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Data Science

Apply Now — ₹30,000/moApply on Company Website ↗

About the Internship

Start your career in growth and product data science with Sprinklr as a Growth Data Science Intern in Nashik. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Growth Data Science Intern at Sprinklr, your…

About Sprinklr

Sprinklr offers a mentor-led Growth Data Science Intern in Nashik with live project work in data science, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nashik, MaharashtraVerified employer14 openings
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Skills Required

SQLPythonFunnel & Cohort AnalysisA/B TestingRetention ModellingProduct AnalyticsSegmentationData VisualisationMetric DesignStorytelling

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, BBA/MBA, B.Sc (Statistics / Economics) or BCA/MCA who are based in or willing to work from Nashik. You should be keen to learn SQL, Python, Funnel & Cohort 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
30,000/month

Stipend · 3 months

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Openings14 positions
Applicants0 applied
ModeWork from Home
CategoryData Science
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