FSS (Financial Software and Systems) VerifiedActively Hiring
Marketing Machine Learning Intern
Apply NowLocation
Gurugram, Haryana
Work Mode
In Office
Duration
3 months
Stipend
₹30,000/mo
Start Date
Immediate / Rolling
Openings
7 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join FSS (Financial Software and Systems) in Gurugram 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…
About FSS (Financial Software and Systems)
FSS (Financial Software and Systems) offers a mentor-led Marketing Machine Learning Intern in Gurugram with live project work in machine learning, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
See all FSS (Financial Software and Systems)internships →Gurugram, HaryanaVerified employer7 openings
Apply to FSS (Financial Software and Systems) →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 Gurugram. 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
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours
Interview & Selection Process
2 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
₹30,000/month
Stipend · 3 months
Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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