Data Research Internship
AVR Uniforms is looking for a Data Research Intern in New Delhi to gather, check and organise information for its research work. The stipend is listed as ₹5,000 to ₹10,000 a month for a 6-month, full-time, in-office stint.
What the research work involves
- Gather information from credible online and offline sources, guided by research objectives that are set for you.
- Clean, organise and keep datasets up to date in spreadsheets or other suitable data tools.
- Check facts, spot inconsistencies and record where each piece of information came from.
- Support market, product, customer or business research when it is assigned to you.
- Write short summaries, reports and presentations that bring out the main findings.
- Work with team members to keep to research timelines and keep records accurate.
Who this internship is meant for
The post asks for someone who is interested in data research, information analysis and structured problem-solving, and who is careful and accurate in their work.
- Comfort with spreadsheets and basic data organisation.
- Clear written and spoken communication.
- Ability to research on your own and tell credible sources from weak ones.
- Availability for the full 6 months, full-time, in the office in New Delhi.
It also says candidates who are dependable, methodical and eager to learn are encouraged to apply. No specific degree or prior experience is mentioned.
Opens WhatsApp. Hopin sends you the application link for this role.
How the stipend compares
The stipend is listed as ₹5,000 to ₹10,000 a month. Even at the ₹10,000 end, it sits below what similar internships in this field pay across India, so weigh it against the experience on offer.
Ways to prepare before you apply
- Practise cleaning a small messy dataset in a spreadsheet: remove duplicates, fix formats and flag odd entries.
- Pick a topic, such as a product category, and collect facts from several sources. Note where each one came from and which you trust more.
- Write a one-page summary of your findings. Short, clear and accurate reads better than long.
- Be ready to explain how you check a claim before relying on it.
- Since the internship is in-office for 6 months, confirm that your college schedule and travel to New Delhi allow it.
How many people you may be up against
27 registered so far Moderate competition
Competition for this internship is moderate compared with similar roles. That is based on how many people registered on the original listing.
Timing
- Apply by
- 2 Nov 2026 (14 days left)
Applications close on 2 Nov 2026. The listing went up on 19 Oct 2026, so there are about two weeks to respond.
Screening status
- Passed Hopin's scam screen
This listing went through Hopin's scam screen. Still, read the details carefully and make your own decision before you commit.
Other options out there
- Similar roles Hopin tracks in Delhi
- 5
- Similar roles Hopin tracks across India
- 63
Many comparable internships are open across India, so you can compare pay and conditions before you choose. This one is tied to Delhi and requires you to be in the office.
Skills this role touches
- Data Collection
- Information Gathering
- Data Organization
- Fact-Checking
- Data Interpretation
- SQL 35%
- Python 35%
- Data Analytics 25%
- Data Science 22%
This posting stresses collecting information, organising data, fact-checking and interpreting findings, along with spreadsheet comfort. Similar roles elsewhere more often ask for SQL, Python, data analytics and MS-Excel, so building some of those could help you across other applications.
Questions people ask about this role
How much does the Data Research Internship at AVR Uniforms pay?
It is a paid internship with a monthly stipend of ₹5,000 to ₹10,000. Compared with similar internships in the same field across India, the pay is below typical.
Is this internship remote or in the office?
It is in-office in New Delhi. The post asks for availability for a 6-month, full-time internship.
Do I need advanced technical skills for this role?
The post asks for comfort with spreadsheets and basic data organisation, plus attention to detail, clear communication and the ability to judge whether sources are credible. It does not list advanced technical tools.