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Hire Power BI Data Science Intern: skills, stipend and screening

What a single Data Science intern should actually be able to do, what to pay in 2026, the questions that separate a real Data Science candidate from a certificate, and how to post the role free.

Our AI writes the listing · every employer verified before going live

₹12,000–₹45,000
Typical monthly stipend
1.2L+
Verified candidates
5,000+
Colleges & campuses
~2 hrs
To first applications

You are hiring a single Data Science intern. The gap between a listing that fills in a week and one that sits open for two months is almost never the stipend — it is whether the brief names the actual data science work.

Power BI Data Science Intern sits across two skill sets — Power BI and Data Science — and candidates with genuine depth in both are rarer than in either alone. Screen the Data Science half first: it decides whether the work gets done, and the Power BI half is the faster of the two to teach.

Use it as a checklist. By the end you should be able to write a Data Science listing that a strong candidate reads to the bottom, and screen the applications it brings in.

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What a single Data Science intern actually does in the first 90 days

Each of these is work a team member would otherwise do. That is the test of a good intern brief: real work already on someone's list, not a project invented to keep the intern busy.

  • Write the data dictionary and reproducible pipeline for the dataset you used
  • Rebuild the report that takes 40 seconds to load so it opens instantly
  • Replace three near-identical reports with one parameterised model
  • Set up scheduled refresh and alerting so nobody exports to Excel again
  • Add row-level security so each region sees only its own numbers
Put one of these in your listing
Listings with a named deliverable get more applications — and better ones.
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Data Science skills worth screening for

Screen on the first three. The rest are teachable inside a term, and treating them as entry requirements shrinks your pool for no gain.

Screen for these
  • 1Exploratory analysis and feature engineering
  • 2Train/test discipline and leakage avoidance
  • 3Model evaluation beyond accuracy
  • 4Pandas and NumPy fluency
  • 5Communicating uncertainty
  • 6Notebook hygiene and reproducibility
  • 7Data model design: star schema over one flat table
  • 8DAX measures and calculated columns, and knowing which to use
Tools they should have touched
DAXPower Query (M)Pythonpandas and NumPyscikit-learnJupyter

The tools column is where CV inflation happens. Pick two and ask what went wrong the last time they used them; the answer is unfakeable.

Tag these skills on your listing
Skill-tagged listings are matched to candidates who actually have them.
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Screening questions for power bi data science intern

These separate practice from theory. Ask two, listen for a specific example, then follow the example rather than moving to the next question.

Q1

Your model is 95% accurate on a 5% event rate. Is it good?

What a good answer shows: Whether they see the base-rate trap

Q2

How would you explain a model to a sales director?

What a good answer shows: Translation ability

Q3

When would you write a measure instead of a calculated column?

What a good answer shows: The single clearest signal of real Power BI experience versus a certificate

Q4

A report takes a minute to open. Where do you look?

What a good answer shows: Model size, cardinality and DAX — not "add more RAM"

Q5

Show me a dashboard you built and tell me which decision it changed

What a good answer shows: Whether they build for a user or for marks

Score every candidate on the same questions. Comparing free-form conversations across a shortlist is where inconsistency, and bias, get in.

Post the role and start screening this week
First applications usually arrive within about two hours of going live.
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Where the Data Science candidates come from

MyInternships.in carries a verified, India-wide pool of students and fresh graduates — from IITs, NITs, BITS, IIMs and Symbiosis through to strong regional engineering and commerce colleges. Profiles carry skill tags, so you can filter on DAX and Power Query (M) rather than reading résumés.

1.2L+
Verified candidate profiles
5,000+
Colleges and campuses covered
IIT · IIM · BITS · NIT
Premium institutes in the pool
100%
Employers verified before going live
Filter the pool by
  • Skill tags — filter directly on DAX, Power Query (M), Python and the rest of the Data Science stack
  • Languages, for roles with customer or field contact across states
  • Institute tier, if a specific campus cohort matters for this role
  • Availability window and notice, so a six-month role does not shortlist a six-week candidate
  • Prior data science exposure — coursework, personal projects or a previous internship

Skill tags come from the candidate’s own projects and verified profile, so filtering on DAX or Power Query (M) returns people who have used them rather than people who listed them.

Reach this pool today
Post the role, or let the AI matcher rank candidates against your brief.
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What to pay a single Data Science intern in 2026

Typical monthly stipend
12,000 – ₹45,000

₹12,000–₹45,000 a month is the band we see for this role across India. The spread is mostly city and company stage, not candidate quality.

An unpaid listing filters for the wrong thing

It filters for who can afford to work free, not who is good. It also roughly halves your applications, and removes most of the candidates who had a second option.

City moves the number more than skill does

Bengaluru, Hyderabad, Pune, Mumbai, Gurugram and Noida sit at the top of the band. Tier-2 cities typically run 25–40% lower for the same skills and the same output.

Benchmark before you decide, not after

The stipend calculator on this site uses live listing data for this role and city. A band chosen from memory is usually a year out of date, always in the same direction.

Duration affects the rate

Six-month commitments generally command more per month than six-week ones, because the candidate is giving up other options. Price the commitment, not just the hours.

Publish the role with your stipend band
Listings that state the stipend get noticeably more qualified applicants.
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Getting one Data Science intern to actually produce something

The difference between an intern who ships and one who does not is almost never talent. It is whether the work was ready on their first day and whether someone read it on their second week.

Have day one ready before you offer

Laptop, accounts, repository or dataset access, and a task small enough to finish in two days. Interns who spend week one waiting for access rarely recover the momentum.

Review early and small

Read their work in the first week, not the fourth. Early correction on a small piece of Data Science work is cheap; late correction on a term’s work is not.

Give them one real user

Someone who wants the output and will complain if it is wrong. Work with no audience is the fastest route to a disengaged intern.

Decide in advance what "good" looks like

Write down what a successful term would produce. Otherwise the end-of-term assessment becomes a memory of impressions, and that helps nobody.

Set the programme up properly
Free templates: JD, offer letter, internship policy and hiring checklist.
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How to post power bi data science intern on MyInternships.in

You do not need a prepared job description. Answer a few questions in the chat and the assistant drafts the listing, title and skill tags for you.

01
Describe the role in a sentence

Tell it you are hiring power bi data science intern, roughly how long for and what you can pay. Everything else it asks for is optional.

02
The AI writes the listing

It drafts the description, suggests the title and tags the Data Science skills so the right candidates see it. You edit anything before it publishes.

03
We verify your company

Your company details are verified once. Candidates see the verified badge, which is the single biggest driver of reply rate on an unfamiliar company.

04
Applications start arriving

Expect the first responses the same day. Shortlist against the questions above, then interview — most roles here close inside two weeks.

Free plan: one listing, live after verification. Starter ₹499: five listings a month, published instantly, full applicant contact and résumé access. Growth ₹999: fifteen listings with AI candidate matching.

Start the two-minute posting chat
No long forms — answer a few questions and review the draft.
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Mistakes that cost you the good Data Science candidates

Each is fixable before you post, and expensive after.

Listing every technology instead of the three that matter

A Data Science listing with fourteen required tools reads as a company that does not know what it needs. Strong candidates self-select out; the ones who apply anyway have inflated their CVs to match.

Screening on marks instead of evidence

CGPA has almost no relationship with output in this role. One project they can explain in depth, including what went wrong, predicts far better.

No named deliverable

"Assist the team" tells a candidate nothing and tells you nothing at review time. Name the work, in the listing, from the deliverables above.

Confusing enthusiasm with capability

Interviews reward confidence, and confidence in early-career candidates is distributed unevenly by background rather than by ability. Score the answers, not the delivery.

Avoid all four — post with the AI assistant
It drafts a specific, skill-tagged listing instead of a generic one.
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Power BI Data Science Intern — frequently asked questions

What skills should power bi data science intern have?+

The three that matter most are Exploratory analysis and feature engineering; Train/test discipline and leakage avoidance; Model evaluation beyond accuracy. Beyond those, look for working familiarity with DAX, Power Query (M), Python. Everything else on the list above is teachable inside a term — treating it as an entry requirement shrinks your pool without improving the hire.

Is power bi data science intern enough to move a real project forward?+

Yes, within a scoped brief. Write the data dictionary and reproducible pipeline for the dataset you used is achievable in a term with weekly review, and it is genuine output rather than a training exercise. What does not work is open-ended ownership of anything with production consequences — keep the judgement calls with the reviewer and the execution with the intern.

Is ₹12,000 a month enough for power bi data science intern?+

It is the bottom of the working band, and appropriate for a smaller city or a shorter commitment. In Bengaluru, Hyderabad, Pune, Mumbai or the NCR, expect to be closer to ₹45,000 for the same skills — you are competing with every other employer for the same few candidates. Decide where in the ₹12,000–₹45,000 band you sit before the first interview rather than during the offer call.

Can we screen power bi data science intern without a technical interviewer?+

For a first pass, yes. Ask "What is data leakage and how would you catch it?" and judge whether the answer is specific and consistent — you are checking for the mistake that invalidates most student projects, which does not require you to know the subject. A Data Science practitioner should still take the second round, because at that point you are assessing depth rather than authenticity.

What does it cost us in time to supervise one Data Science intern?+

Realistically two to four hours a week of a competent person: a longer session early on, then short daily availability and a weekly review. Below that, the intern stalls and produces nothing you can use. Above it, you are doing the work yourself. That time is the true cost of the hire, and it is what the stipend line in your budget does not show.

What documents does a Data Science intern usually need at the end?+

Most Indian colleges ask for a completion or experience certificate, and many also require a mentor evaluation on the institution's own form. Ask which format the candidate's college needs during onboarding rather than in the final week — it takes two minutes then and becomes a scramble later.

Do we need a job description ready before posting power bi data science intern?+

No. The posting assistant asks a few short questions — the role, the work, the duration, the stipend — and drafts the description, the title and the skill tags for you. You review and edit everything before it publishes, and you can paste in your own description if you already have one.

Can we hire power bi data science intern remotely, or in a specific city?+

Both. The pool covers every major hiring city and hundreds of tier-2 and tier-3 towns, and the role can be posted as remote, hybrid or on-site. For Data Science work specifically, remote widens the pool considerably — filter on skill and availability rather than pin code unless the work genuinely requires presence.

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