Location
Nagpur, Maharashtra
Work Mode
In Office
Duration
6 months
Stipend
₹16,000/mo
Start Date
Immediate / Rolling
Openings
6 positions
Type
Full-time
Category
Machine Learning
About the Internship
Start your career in classical machine learning with Nasdaq as a Scikit-learn Modelling Intern in Nagpur. 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 Scikit-learn Modelling Intern at Nasdaq, your core…
About Nasdaq
Nasdaq offers a mentor-led Scikit-learn Modelling Intern in Nagpur with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Nasdaqinternships →Nagpur, MaharashtraVerified employer6 openings
Apply to Nasdaq →Skills Required
Scikit-learnPythonPandasRegression & ClassificationCross-ValidationHyperparameter TuningFeature SelectionModel MetricsStatisticsMatplotlib
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA or B.Sc/M.Sc (Statistics / Mathematics / Computer Science) who are based in or willing to work from Nagpur. You should be keen to learn Scikit-learn, Python, Pandas 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 RecommendationStructured onboarding and a formal mentor at a large, established employer
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹16,000/month
Stipend · 6 months
Openings6 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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