Rapido Is Hiring a Data Science Intern in Bangalore — Are Freshers Applying the Right Way or Just Rushing?

Most final-year students and freshers apply to data science internships like this:

“Python? Yes. ML? Yes. Resume? Same one everywhere. Submit.”

And then… silence.

Rapido’s Data Science Intern (6 months) role isn’t about buzzwords or fancy certificates. It’s about whether you can work with real data, think clearly, and explain insights. If you apply blindly, you’ll blend into the crowd. If you apply intentionally, your chances jump up fast. Notification

Let’s break this down properly.

About the Rapido Data Science Internship (Quick Overview)

• Company: Rapido
• Role: Data Science Intern
• Duration: 6 Months
• Location: On-site, Bangalore
• Source: Recruiter post on LinkedIn
• Application Mode: Form-based application

This matters because form-based hiring + recruiter screening = resume is everything. There’s no HR call to explain yourself later. Your resume does the talking.

👉 Apply here: Apply Here

What Rapido Actually Expects From a Data Science Intern

Don’t just read the bullet points — understand the intent behind them.

Strong Fundamentals (Non-Negotiable)

Rapido is not looking for “I watched a YouTube ML playlist” candidates.

They expect:

• Python → pandas, numpy, data handling (not just loops & syntax)
• SQL → filtering, joins, aggregations (basic but solid)
• Statistics → mean, median, variance, correlation, distributions

If you can’t explain why you used a method, you’re not ready — even if your code runs.

Basic ML Knowledge (Beginner-Friendly)

You do NOT need deep learning or advanced AI.

What’s enough:

• Linear regression / classification basics
• Train-test split
• Understanding metrics at a high level

Think of it like this: Rapido wants interns who can support decisions with data, not ML researchers.

The Mindset Rapido Cares About Most

This is the silent filter most students miss.

Rapido values:

• Curiosity with messy, real-world data
• Ability to explain insights simply
• Willingness to learn from feedback

Kaggle rankings alone won’t impress them. Clear thinking + honest learning will.

How Freshers Should Apply for This Internship (Step-by-Step)

Step 1: Don’t Open the Form Immediately

First, prepare:

• Resume tailored to data analysis + ML basics
• 2–3 strong projects you can explain confidently

Step 2: Fill the Form Thoughtfully

Recruiters can spot rushed answers instantly.

• Avoid one-word responses
• Be specific but simple
• Show learning, not overconfidence

Step 3: Submit Only When You’re Resume-Ready

One good application > 50 rushed ones.

👉 Application link: Apply Here

What to Mention in Your Resume to Get Shortlisted Easily

This is where most freshers lose the game.

Skills Section (Keep It Honest & Relevant)

Good example:

• Python (pandas, numpy, data analysis)
• SQL (joins, aggregations)
• Statistics (descriptive stats, correlation)
• ML basics (regression, classification)

Bad example:

• Python, SQL, ML, DL, NLP, AI, Big Data

Too vague. Zero trust.

Projects Section (Quality > Quantity)

You only need 2–3 solid projects.

Best-fit project types:

• Data cleaning + exploratory data analysis
• Simple ML project with clear problem statement
• Visualization project with insights

Each project should clearly mention:

• What problem you solved
• What data you used
• What you learned

Avoid:

• Copied GitHub projects
• Projects you can’t explain in an interview

Resume Mistakes That Kill Shortlisting

• Fake or exaggerated skills
• Listing every tool you’ve heard of
• No explanation of impact or learning

Recruiters spot inflated resumes in seconds.

Common Mistakes Freshers Make While Applying

• Applying without tailoring resume
• Ignoring SQL & statistics basics
• Believing certificates guarantee selection
• Applying even if they can’t work on-site in Bangalore

These mistakes silently reduce your chances.

Final Checklist Before You Apply

Before clicking submit, ask yourself:

• Can I explain my projects clearly?
• Are my basics (Python, SQL, stats) solid?
• Am I comfortable with on-site work in Bangalore?
• Did I fill the form carefully?

If yes → apply confidently

If no → prepare for 2–3 focused weeks, then apply

Final Thoughts: Apply Smart, Not Fast

Rapido’s Data Science Internship is a real learning opportunity, not a resume filler. Students who apply with intention always stand out.

👉 Apply here: Apply here

Actionable Next Step

Open your resume today and rewrite one project to clearly explain:

problem → approach → learning

That single change can dramatically improve your shortlisting chances.