Location
Ahmedabad, Gujarat
Work Mode
Hybrid
Duration
6 months
Stipend
₹37,000/mo
Start Date
Immediate / Rolling
Openings
3 positions
Type
Full-time
Category
Data Science
About the Internship
Kick-start your career with Standard Chartered GBS in Ahmedabad as a Data Science Intern. If you learn fastest by doing real work, this internship gives you real projects, real feedback and real mentorship from day one.
As a Data Science Intern, you will work alongside experienced professionals on…
About Standard Chartered GBS
Standard Chartered GBS offers a mentor-led Data Science Intern in Ahmedabad with real data science project work, a stipend of ₹37,000 / month and a Pre-Placement Offer opportunity for strong performers.
See all Standard Chartered GBSinternships →Ahmedabad, GujaratVerified employer3 openings
Apply to Standard Chartered GBS →Skills Required
PythonPandasNumPyMachine LearningSQLStatisticsScikit-learnData Visualization
Who Can Apply
- Students in their final year or recent graduates based in or willing to work from Ahmedabad, who are curious, self-driven and keen to learn data science on real projects. Freshers welcome — a strong project portfolio matters more than prior work experience.
Perks
Real-world project experiencePre-Placement Offer (PPO) opportunityFlexible working hoursStipendNetworking opportunitiesInternship Certificate
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application Screening — the Standard Chartered GBS recruitment team reviews your resume, skills and (where relevant) projects/portfolio for fit with the Data Science Intern internship in Ahmedabad.
- 2Online Assessment — a timed test covering fundamentals, problem solving and basic Python/Pandas/NumPy questions.
- 3Technical / Functional Interview — a discussion of your skills, past work and a hands-on round relevant to Data Science Intern.
- 4HR Discussion — a conversation about your goals, availability, expectations and the offer with Standard Chartered GBS.
₹37,000/month
Stipend · 6 months
Openings3 positions
Applicants1 applied
ModeHybrid
CategoryData Science
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