Data Research Intern
Prop Pie - Fractional Ownership For Real Estate
Pune, Maharashtra, India · Full Time internship
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- Stipend
- Stipend: INR 4,000 – INR 40,000 / month
- Duration
- 6 months
- Start
- Immediately
- Openings
- 1
Candidates must be local to Pune and able to commit to a full-time, six-month, in-office internship starting between July 31 and September 9, 2026, possessing relevant skills and interests.
- Work mode
- In office
- Education
- Computer Science or related field student/graduate
- Resume
- Required to apply
About the internship
About the Internship
At PropPie, reliable and top-notch data forms the foundation of our fractional ownership platform, property valuation models, and AI-driven chat assistants. We seek a technically skilled Data Research and Product QA Intern who merges data engineering, AI assessment, and product strategy. This role goes beyond simple data gathering — you will rigorously test data integrity and AI systems, explore new data sources, deeply analyze product features, and sustain the accuracy and dependability of our platform’s analytics.
Key Responsibilities
- Conduct audits and QA on raw data and data ingestion pipelines to identify data drift, missing values, duplicates, and schema errors before the data is used in analytics.
- Assess AI chat agent outputs, prompt performances, and large language model extraction accuracy while detecting hallucinations, rare error cases, and bottlenecks in workflows.
- Research and vet new external data sources such as public property databases, municipal documents, API feeds, infrastructure datasets, and online portals to broaden the platform intelligence.
- Perform competitive product benchmarking, evaluating features and UI/UX flows to spot gaps; contribute to shaping internal tools and dashboards.
- Engage with local real estate developers, property managers, and agents to gather unstructured data regarding properties, yields, and transactions.
- Develop standard operating procedures and test documentation, and provide detailed feedback and specifications to developers for workflow improvements.
Required Qualifications & Skills
- Exceptional attention to detail with a knack for identifying data anomalies, unusual edge cases, and unexpected AI responses.
- Curiosity in technology and product operations, understanding the interplay of backend pipelines, dashboards, and AI agents in delivering property insights.
- Proficiency with tools like Postman, LLM playgrounds (ChatGPT, Claude, OpenAI API), SQL editors, and Python scripting for dataset evaluation.
- Ability to communicate effectively and clearly with developers and leadership, articulating bugs, insights, and research outcomes.
- Currently pursuing or completed a degree in Computer Science, Data Science, Information Technology, Business Analytics, or related disciplines.
Internship Details
This is a full-time, on-site internship based in Pune, Maharashtra, with a duration of 6 months. The internship begins between July 31, 2026, and September 9, 2026.
Compensation and Perks
- Monthly stipend ranging from ₹4,000 to ₹40,000, split into fixed pay (₹2,000 - ₹20,000) and incentive pay (₹2,000 - ₹20,000).
- Certificate of internship completion and letter of recommendation provided.
- Flexible working hours with a formal 5-day workweek.
- Relaxed dress code for the office environment.
Eligibility Criteria
- Applicants must be available for full-time, in-office internship in Pune.
- Internship period availability of 6 months starting within the specified timeframe.
- Strong interest and prior experience related to the role requirements.
- Residency in Pune is mandatory.
About PropPie
PropPie is an innovative platform for fractional ownership that democratizes access to premium real estate investments across India. It empowers individuals to purchase affordable shares in prime properties located largely in Maharashtra (Mumbai, Pune) and Karnataka (Bengaluru), starting as low as ₹1 lakh, eliminating the need for full ownership, maintenance burdens, or heavy capital outlays. The company carefully selects residential, commercial, and plotted properties, manages legal structuring, transparent due diligence, rental distributions, and exit strategies to make investing in real estate straightforward, liquid, and transparent.