Data Science Intern

About Tripzy

Tripzy is an AI-powered travel planning and concierge platform for India, focusing on Gen Z and young professionals. It assists users in discovering off-beat destinations and planning trips, including itineraries, stays, and transport. Tripzy is incubated at Bennett Hatchery Foundation and backed by Times Group.

About the Role

As a Data Science Intern, you will play a key role in enhancing the quality of Tripzy's recommendations. You will work directly with the founders on a live product with real users, focusing on improving the underlying data and ranking/selection logic.

Duration: 3-6 months

Stipend: Upto ₹2.5-3K per month

Key Responsibilities

• Clean, structure, and standardize destination, stay, and activity data.
• Integrate data from multiple sources (APIs, spreadsheets, public datasets) into a reliable pipeline.
• Build and test ranking and filtering logic for recommendations (considering vibe, season, distance, traveler type) and evaluate performance.
• Experiment with LLM-based approaches, including prompt testing, embeddings, and RAG prototypes.
• Analyze user behavior and itinerary data (searches, generated itineraries, drop-offs, repeat usage) to identify effective strategies.
• Use user feedback and engagement signals to continuously improve recommendation quality and personalization.
• Build and run experiments and A/B tests to measure the impact of changes to recommendation logic.
• Work on reducing LLM cost and latency through caching, smarter retrieval, and improved prompt design.
• Integrate and standardize data from booking partners, hotel and transport APIs, and vendor platforms.
• Build evaluation frameworks and metrics to track recommendation relevance and data quality over time.
• Contribute to the design of Tripzy’s data and AI roadmap, including advanced personalization and agentic features.

Requirements & Tech Stack

• Proficiency in Python, SQL, and pandas.
• Basic understanding of machine learning and concepts like ranking, similarity, or recommender systems.
• Curiosity about LLMs, embeddings, and RAG.
• A GitHub profile or portfolio with at least one data or ML project.
• Strong attention to detail and the ability to work independently.
• Currently pursuing or recently completed a B.Tech / BCA / MCA / Data Science degree or a related field.

Good to Have

• Experience with web scraping or working with APIs.
• Exposure to LLM APIs or graph databases.
• Interest in travel and exploring off-beat India.

What You’ll Get

• Hands-on experience on a live AI product.
• Direct mentorship and access to the founders.
• Real ownership of your work.
• Internship certificate and letter of recommendation.
• Possibility of a full-time offer for strong performers.