As the first ML specialist, you will unlock a proprietary dataset of Booking.com private API data, Airbnb channel data, and competitive pricing. You will transition the platform from rules-based logic to a data-driven agent, building models that separate causal signals from noise to measurably increase revenue for thousands of properties worldwide.
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Founding ML/Data Engineer at My Data Value
Join a high-growth hospitality tech startup as their first ML/Data Engineer and take ownership of a massive, untapped dataset. We sit on private Booking.com API data and Airbnb channel signals that are currently underutilized. You'll move us from rules-based logic to a sophisticated, data-driven agent that automates revenue for thousands of properties. With a founding-level equity stake (up to 1%) and a stack featuring Django, ClickHouse, and scikit-learn, this is a rare opportunity to build a compounding technical moat from the ground up in a remote-first UK team.
About this role
Role overview
About the company
My Data Value
My Data Value LIMITED is an AI-driven Hospitality Tech platform that provides a revenue AI agent called Sisi to help vacation rental and short-let property owners automate revenue management on platforms like Booking.com and Airbnb. It optimises pricing, promotions, rankings, and analytics without manual work or PMS/RMS integration, saving users significant time.
What you'll do
What you will do
- Mine Booking.com and Airbnb datasets to identify the specific signals that predict revenue and distinguish them from seasonal noise
- Apply causal inference and time-series analysis to determine if promotions drive incremental bookings or if conversion would have happened anyway
- Ship production-ready Python code within a Django and ClickHouse stack to integrate model logic directly into the automated agent
Who you are
Who this is a fit for
- Proven experience shipping end-to-end data projects in a startup environment, moving from initial hypothesis to production-ready implementation
- Highly proficient in Python (pandas, NumPy, scikit-learn) and comfortable working inside a Django codebase rather than just Jupyter notebooks
- AI-native engineer who leverages frontier coding tools and agentic workflows to ship faster and is curious about self-learning ML systems
Why this role
Why this role is remarkable
- Access a unique, high-moat dataset including private Booking.com API signals and scraped market data that most companies cannot reach
- Huge equity upside as a founding team member (up to 1%) in a startup building the "compounding moat" of the business
- Direct product impact where your models move the needle on real-world revenue decisions rather than dying in internal dashboards
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.