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Sungard Availability Services logo — Sungard Availability Services Data Science Intern in Noida, Uttar Pradesh
Sungard Availability Services VerifiedActively Hiring

Data Science Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Data Science

Apply Now — ₹26,000/moApply on Company Website ↗

About the Internship

Sungard Availability Services is hiring a Data Science Intern in Noida — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data and analytics rather than a certificate-only programme. About the role As a Data Science Intern at Sungard Availability…

About Sungard Availability Services

Sungard Availability Services offers a mentor-led Data Science Intern in Noida with live project work in data science, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer3 openings
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Skills Required

PythonMachine LearningStatisticsPandasSQLData VisualisationFeature EngineeringModel EvaluationJupyterStorytelling with Data

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) who are based in or willing to work from Noida. You should be keen to learn Python, Machine Learning, Statistics 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

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
26,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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