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CloudSEK logo — CloudSEK Applied Scientist Intern in Bengaluru, Karnataka, India
CloudSEK VerifiedActively Hiring

Applied Scientist Intern

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Location

Bengaluru, Karnataka, India

Work Mode

In Office

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹0/mo

About the Internship

Join CloudSEK in Bengaluru as a Applied Scientist Intern and take a meaningful first step into the world of data science. This structured, guided internship lets you spend your time applying scientific research methods to real product problems, learning directly from practitioners who ship data and…

About CloudSEK

About CloudSEK CloudSEK is a Bengaluru-headquartered, AI-powered predictive cybersecurity and digital-risk company founded in 2015 by Rahul Sasi. What began as a research-driven initiative has grown into one of the industry's trusted contextual threat-intelligence platforms, using artificial…
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Bengaluru, Karnataka, IndiaVerified employer2 openings
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Skills Required

PythonMachine LearningDeep LearningStatisticsApplied MathematicsResearchPyTorchAlgorithmsExperimentationData AnalysisScientific WritingProblem Solving

Perks

Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1The selection process for the Applied Scientist Intern at CloudSEK is structured, merit-based and typically involves 4 evaluation rounds followed by an HR discussion (about 5 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic machine learning concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Machine Learning, Deep Learning and problem-solving Round 4: Technical Interview 2 / Case Study — a hands-on data/ML case or take-home task discussion with the team Round 5: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.
0/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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