At a Glance
- Tasks: Review AI-generated site assessments for data centres across Europe, ensuring accuracy and compliance.
- Company: Join Waterplan, a pioneering Climate Tech startup focused on water security.
- Benefits: Flexible remote work, competitive pay, and the chance to make a real environmental impact.
- Other info: Fast-paced role with a 12-hour turnaround, perfect for those who thrive under pressure.
- Why this job: Be at the forefront of climate tech, shaping the future of sustainable infrastructure.
- Qualifications: Expertise in site selection and a keen eye for detail are essential.
The predicted salary is between 59400 - 72600 £ per year.
Description
Are you passionate about making a significant impact on one of our generation's most pressing environmental challenges?
Do you have the expertise to look at a parcel of land in Germany, Ireland or Iberia and know — before anyone else does — what will kill the project?
Join us in creating and leading a new category in the Climate Tech industry.
About Waterplan
Waterplan is a pioneering Series A Y Combinator-backed Climate Tech startup dedicated to accelerating the journey toward a water-secure future.
Through our leading B2B Enterprise Saa S platform, we empower companies to understand, respond, report, and monitor their ever-evolving water risk.
We help businesses see the tangible benefits of mitigating water risks – fostering a future where organizations are motivated to conserve water and preserve our precious ecosystems.
Civarea , our AI-powered site selection platform for data centers, applies that same rigor to the fastest-growing infrastructure market in the world.
We compress 30 days of fragmented site due diligence into same-day risk visibility: 280+ factors per site across power, permitting, water, environmental, community, connectivity and legal — used today by some of the largest DC operators and hyperscalers in the world.
Requirements
We're looking for a
Data Center Site Selection Expert to be the expert eye between our AI engine and the client.
Every site assessment (SDC — Site Data Collection) and screening report we deliver passes through an expert review step.
That step is you.
You never face clients: your job is to make sure that what reaches them would survive the scrutiny of a VP of Site Acquisition who knows that region personally.
This is a high-impact role that combines technical judgment, regional depth, and speed.
Your corrections don't just fix one report — they feed back into the engine, so your work compounds with every site you review.
One hard rule: the 12-hour turnaround.
Our clients send us a site and expect it to be evaluated by the next morning.
Every review must be completed within 12 hours of assignment, often overnight in European time.
You choose your active days; within them, the 12 hours are the contract.
If you can't commit to that response window, this isn't the right fit — and we'd rather be direct about it now.
What You'll Do
- Review AI-generated SDCs and screening reports for European Data Centers sites before delivery — typically 1–2 hours per site, inside the 12-hour window.
- Validate site-specificity: every key finding must be true for this parcel — this municipality, this utility, this grid node — not generic to the country or region.
- Verify the power picture: grid operator identification (TSO/DSO), connection context, and known constraint zones.
- Verify permitting and legal: zoning, environmental permitting pathways, the authority landscape, and realistic timelines for that jurisdiction.
- Red-team the Top 5 risks. Try to break them, and flag anything overstated, understated or missing — community sentiment, flight paths, wetlands, protected areas.
- Correct scores with a one-line justification each. These corrections train the engine.
- Flag better local data sources when you know them: registries, cadastres, grid maps, local media.
- Contribute your expert read to the internal self-review when a client challenges an assessment.
Data Center Site Selection Expert — From ANY part of Europe! - Remote employer: Waterplan
Waterplan is an exceptional employer that champions innovation and sustainability in the Climate Tech sector. With a remote work model, employees enjoy flexibility while contributing to meaningful projects that address critical environmental challenges. The company fosters a collaborative culture, prioritising professional growth and offering unique opportunities to make a tangible impact on water security across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Center Site Selection Expert — From ANY part of Europe! - Remote
✨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 Waterplan!
✨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 Data Center Site Selection Expert — From ANY part of Europe! - Remote at Waterplan.
✨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 Waterplan.
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When you find a suitable opening like Data Center Site Selection Expert — From ANY part of Europe! - Remote at Waterplan, 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 Data Center Site Selection Expert — From ANY part of Europe! - Remote
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 Waterplan, 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 Waterplan. 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 Waterplan
✨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 Waterplan!
✨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.
