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myDataValue

Founding ML/Data Scientist (UK Only - Remote First)

£70k - £100k · 0.5% - 1% · Remote First

We are 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. 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 are looking for a founding ML/Data scientist to change that. You will turn dormant data into a smarter agent and a compounding moat.

The Role

We have Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties. You will be the first person to seriously dig into it.

Your job is to find the patterns and signals that drive revenue, then work with the engineering team to make our agent act on them.

  • Find What Matters: Dig through our Booking.com, Airbnb, and scraped competitive data. Figure out what signals actually predict revenue, what is noise, and what we should act on.
  • Separate Cause from Correlation: When a promotion drives a booking, was it causal or would it have converted anyway? When occupancy drops, is it pricing, seasonality, or competition? We need rigorous answers, not guesses.
  • Turn Insights into Revenue: Work with the engineering team to translate your findings into logic the agent can use. The goal is recommendations that are measurably better than what a human would do.
  • Shape the Data Strategy: We have a lot of data and no roadmap for it. You will decide what to track, what to enrich, and where the highest-value opportunities are.
  • Ship to Production: This is not a notebooks role. Your analysis needs to reach customers. You will work inside our Django and ClickHouse stack alongside the engineering team.

The Logistics

  • Remote-first role for UK-based candidates.
  • You should expect to be in London for WeWork sessions at least a few days per month, flexibly, for onboarding, planning, and product work with the team.
  • Salary: £70k - £100k (depending on experience).
  • Equity: Up to 1% options (4-year vesting).

Who You Are

  • 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, NumPy, scikit-learn) and get your models live in our Django and ClickHouse 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.

Interview Process

  1. 1. 30 minute non-technical call with the CTO.
  2. 2. Take-home data challenge: we give you a sample of real OTA data and ask what you notice, what you would investigate further, and what you would recommend we act on.
  3. 3. 1 hour deep-dive on your submission with the founding team. We care about your thinking process, not a polished slide deck.
  4. 4. Meet in person with both founders.
  5. 5. Offer.

Why This Role?

  • Unique Data: Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset does not exist at most companies.
  • Real Impact: Your models will directly drive revenue decisions for thousands of properties. No internal dashboards that nobody looks at.
  • High Equity: 1% is a good chunk for our stage.
  • Compounding Moat: Every property we add makes the data richer and the models better. You are building the thing that makes us hard to displace.

Email Martin directly at martin@mydatavalue.com.

Please do not use AI for your email application.

Apply now