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Spinny logo — Spinny Marketing Machine Learning Intern in Surat, Gujarat
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Marketing Machine Learning Intern

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Location

Surat, Gujarat

Work Mode

In Office

Duration

2 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Join Spinny in Surat as a Marketing Machine Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on machine learning for marketing and growth work. About the role As a Marketing Machine Learning…

About Spinny

Spinny offers a mentor-led Marketing Machine Learning Intern in Surat with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Surat, GujaratVerified employer3 openings
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Skills Required

PythonPropensity & Uplift ModellingCustomer SegmentationSQLA/B TestingScikit-LearnAttribution BasicsFeature EngineeringCampaign AnalyticsBusiness Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, MBA (Marketing / Analytics), B.Sc/M.Sc (Statistics) or MCA who are based in or willing to work from Surat. You should be keen to learn Python, Propensity & Uplift Modelling, Customer Segmentation 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

3 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. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 2 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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