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.
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
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.
- 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
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.
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.
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
How would you explain a model to a sales director?
What a good answer shows: Translation ability
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
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"
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.
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.
- 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.
What to pay a single Data Science intern in 2026
₹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.
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.
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.
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.
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.
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.
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.
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.
Someone who wants the output and will complain if it is wrong. Work with no audience is the fastest route to a disengaged intern.
Write down what a successful term would produce. Otherwise the end-of-term assessment becomes a memory of impressions, and that helps nobody.
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.
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.
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.
Your company details are verified once. Candidates see the verified badge, which is the single biggest driver of reply rate on an unfamiliar company.
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.
Mistakes that cost you the good Data Science candidates
Each is fixable before you post, and expensive after.
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.
CGPA has almost no relationship with output in this role. One project they can explain in depth, including what went wrong, predicts far better.
"Assist the team" tells a candidate nothing and tells you nothing at review time. Name the work, in the listing, from the deliverables above.
Interviews reward confidence, and confidence in early-career candidates is distributed unevenly by background rather than by ability. Score the answers, not the delivery.
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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Answer a few questions and our AI writes the description, suggests the title and tags the Data Science skills. Your company is verified, the listing goes live, and applications start arriving.
