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Velocity logo — Velocity Financial Data Science Intern in Gurugram, Haryana
Velocity VerifiedActively Hiring

Financial Data Science Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

3 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Data Science

Apply Now — ₹33,000/moApply on Company Website ↗

About the Internship

Velocity is hiring a Financial Data Science Intern in Gurugram — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data science in financial services rather than a certificate-only programme. About the role As a Financial Data Science Intern at…

About Velocity

Velocity offers a mentor-led Financial Data Science Intern in Gurugram with live project work in data science, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer6 openings
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Skills Required

PythonStatistical ModellingTime-Series AnalysisSQLRisk & Credit MetricsFinancial Data SourcesModel ValidationBacktestingModel ExplainabilityRegulatory Awareness

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, M.Sc (Statistics / Mathematics / Financial Engineering), MBA (Finance) or CA/CFA-track who are based in or willing to work from Gurugram. You should be keen to learn Python, Statistical Modelling, Time-Series Analysis 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
33,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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