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Morgan Stanley logo — Morgan Stanley Big Data Analytics Intern in Guwahati, Assam
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Big Data Analytics Intern

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Location

Guwahati, Assam

Work Mode

In Office

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Data Science

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About the Internship

Start your career in large-scale data processing with Morgan Stanley as a Big Data Analytics Intern in Guwahati. 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 Big Data Analytics Intern at Morgan Stanley…

About Morgan Stanley

Morgan Stanley offers a mentor-led Big Data Analytics Intern in Guwahati with live project work in data science, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Guwahati, AssamVerified employer8 openings
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Skills Required

Apache SparkPython (PySpark)SQLDistributed ComputingHadoop Ecosystem BasicsData PartitioningQuery OptimisationCloud Data PlatformsParquet & Columnar FormatsPerformance Tuning

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Guwahati. You should be keen to learn Apache Spark, Python (PySpark), SQL 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 3 months

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Openings8 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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