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Gnani.ai logo — Gnani.ai Financial Data Science Intern in Dehradun, Uttarakhand
Gnani.ai VerifiedActively Hiring

Financial Data Science Intern

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Location

Dehradun, Uttarakhand

Work Mode

Hybrid

Duration

3 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Data Science

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Join Gnani.ai in Dehradun as a Financial Data Science Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data science in financial services work. About the role As a Financial Data Science Intern at…

About Gnani.ai

Gnani.ai offers a mentor-led Financial Data Science Intern in Dehradun with live project work in data science, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Dehradun, UttarakhandVerified employer9 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 Dehradun. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

3 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. 3HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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