Job Description
Job Title Founding ML/Data Scientist (Remote, UK) Job Description We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on Booking.com and Airbnb. We sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties — and right now we barely use it. Our agent is rules-based where it should be data-driven, and our promotions engine has no model behind it. We're looking for a founding ML/Data Scientist to change that. You'll turn dormant data into a smarter agent and a compounding moat. The Role You'll be the first person to seriously dig into our data, find the signals that drive revenue, and work with engineering to make the agent act on them. Find what matters — dig through Booking.com, Airbnb, and competitive data to separate signal from noise. Separate cause from correlation — when a promotion drives a booking, was it causal? When occupancy drops, is it pricing, seasonality, or competition? We want rigorous answers, not guesses. Turn insights into revenue — translate findings into logic the agent can use, measurably better than a human's. Shape the data strategy — decide what to track, what to enrich, and where the highest-value opportunities are. Ship to production — this isn't a notebooks role. You'll work inside our Django + ClickHouse stack alongside the engineering team. Logistics Remote-first for UK-based candidates. Expect to be in London for WeWork sessions a few days a month, flexibly, for onboarding, planning, and product work. Interview Process 1. 30-min non-technical call with the CTO Take-home data challenge using a sample of real OTA data 1-hour deep dive on your submission with the founding team In-person meeting with both founders Offer Why This Role Unique data — Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset doesn't exist at most companies. Real impact — your models drive revenue decisions for thou
