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Ola (ANI Technologies) logo — Ola (ANI Technologies) Quantitative Analyst Intern in Bengaluru, Karnataka, India
Ola (ANI Technologies) VerifiedActively Hiring

Quantitative Analyst Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹0/mo

About the Internship

Join Ola (ANI Technologies) in Bengaluru as a Quantitative Analyst Intern and take a meaningful first step into the world of data science. This structured, guided internship lets you spend your time applying statistics and modelling to quantitative problems, learning directly from practitioners who…

About Ola (ANI Technologies)

About Ola (ANI Technologies) Ola, operated by ANI Technologies Pvt Ltd, is one of India's largest ride-hailing and mobility platforms offering cabs, autos and bike taxis. The company is headquartered in Bengaluru, Karnataka. It serves millions of riders and driver-partners across more than 100…
Bengaluru, Karnataka, IndiaVerified employer2 openings
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Skills Required

PythonStatisticsProbabilitySQLFinancial ModellingTime Series AnalysisNumPyPandasMachine LearningExcelAnalytical ThinkingAttention to Detail

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 Quantitative Analyst Intern at Ola (ANI Technologies) 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 data science concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Statistics, Probability 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
ModeHybrid
CategoryData Science
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