At a Glance
- Tasks: Transform raw data into actionable insights and drive revenue for vacation rental owners.
- Company: Join an innovative AI-driven hospitality tech platform revolutionising the industry.
- Benefits: Remote-first work, flexible hours, and a chance to shape the future of our data strategy.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact with unique datasets and help thousands of properties thrive.
- Qualifications: Strong background in data science, statistics, and experience with Python and machine learning.
The predicted salary is between 60000 - 80000 £ per year.
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 Engineer to change that. You'll turn dormant data into a smarter agent and a compounding moat.
The Role
- 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.
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.
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
- 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
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 thousands of properties.
Founding ML/Data Scientist (UK Only - Remote First) employer: MyDataValue
Join our innovative AI-driven hospitality tech platform as a Founding ML/Data Scientist, where you'll have the unique opportunity to transform dormant data into actionable insights that drive revenue for vacation rental owners. With a remote-first approach for UK-based candidates and flexible in-person sessions in London, we foster a collaborative work culture that prioritises employee growth and impactful contributions. Here, your expertise will not only shape our data strategy but also directly influence the success of thousands of properties, making this a truly rewarding role.
StudySmarter Expert Advice🤫
We think this is how you could land Founding ML/Data Scientist (UK Only - Remote First)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MyDataValue!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Founding ML/Data Scientist (UK Only - Remote First) at MyDataValue.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MyDataValue.
✨Apply Directly through Our Website
When you find a suitable opening like Founding ML/Data Scientist (UK Only - Remote First) at MyDataValue, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Founding ML/Data Scientist (UK Only - Remote First)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MyDataValue, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MyDataValue. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MyDataValue
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MyDataValue!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
