Founding ML​/Data Scientist - Remote First

We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on  and Airbnb.

We sit on  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 Engineer to change that. You'll turn dormant data into a smarter agent and a compounding moat.

• Find what matters — dig through , 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 + Click House stack alongside the engineering team.

• A real data scientist who reaches for statistics and experiments first, and knows when a result is significant versus noise. Strong with time series.
• Causal by instinct — you don't confuse correlation with causation. You can design holdouts and A/B tests, and reason about confounders when a clean experiment isn't possible.
• Comfortable in the mess — real OTA data is dirty, sparse, and seasonal. You wrangle it, find the signal, and build features that predict revenue.
• Fluent in modelling — forecasting, uplift and causal models, and the judgement to pick the simplest thing that works. You can tell when a model is delivering real value and iterate until it does.
• Ships to production — not a notebooks role. You write clean, deployable Python (pandas, Num Py, scikit-learn) and get your models live in our Django and Click House stack.
• A product thinker who cares about revenue impact, not what's technically interesting. You start from the business question and work back to the method.
• AI-first — you use AI coding tools with multiple agents to ship faster, ideally pushing into self-learning ML or agentic workflows. If you don't already use frontier AI tools, this isn't the role for you.

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.

• 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

• Unique data —  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 thousands of properties.