Data Science Intern at Spring Money

About this internship

Skills you'll use

What you'll do

• Clean and explore real datasets to answer defined questions.
• Build and evaluate baseline predictive models.
• Engineer features and validate assumptions statistically.
• Present findings clearly to non-technical stakeholders.
• Document your work so the next person can pick it up

Who can apply

• Education: pursuing or completed B.E./B.Tech/BCA/MCA/B.Sc in CS, IT or a related discipline
• Graduation year: 2025, 2026 or 2027 batch
• Minimum 60% / 6.0 CGPA (relaxable for candidates with strong practical projects)
• Technical skills: working knowledge of Python, Statistics, Pandas, Machine Learning
• Soft skills: clear written communication, ownership, willingness to document work
• Experience: none required — freshers welcome; prior projects or certifications are a plus

Perks & benefits

Interview & selection process

1. 1The selection process for the Data Science Intern role at Spring Money is merit-based and typically runs over 4 stages: Round 1: Application & Resume Screening — apply through this page; profiles are shortlisted on fundamentals, projects and role fit. Round 2: Online Assessment — aptitude plus role-specific questions covering Python, Statistics, Pandas. Round 3: Technical / Functional Interview — a discussion of your projects and practical scenarios covering Python, Statistics, Pandas, Machine Learning, SQL. Expect "how would you approach this?" rather than definitions. Round 4: HR Discussion — role expectations, stipend, start date, location and offer. Shortlisted candidates are contacted after applying. There are no charges at any stage of the process — Spring Money never asks candidates for money.

About Spring Money

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