Senior Geospatial Data Scientist

Who are we?

Zulu Ecosystems’ mission is to regenerate natural ecosystems responsibly so that the planet and its communities can thrive.  We combine proprietary technology and domain expertise with on-the-ground relationships to mobilise landowners, investors, government bodies, and communities around large-scale nature programmes.    

 
Doing the right thing for nature and people is at the heart of our work, and we apply peer-reviewed and novel scientific methods to scope, plan, and support delivery of on-the-ground regeneration projects. We use high-quality science to maximise the benefits across carbon sequestration, biodiversity uplift, nature-based climate risk solutions and positive outcomes for communities. We have already delivered projects in woodland creation and peatland restoration, and are expanding our capabilities to include wetlands, grasslands, and other ecosystems.  

Your mission

We’re seeking an innovative and collaborative physical, environmental or data scientist with a passion for extracting new scientific insights from big, complex or noisy data. We want to combine UK-wide and eventually world-wide data and model outputs to assess landscapes’ potential for restoration, improving outcomes for nature, and implementing nature-based solutions to grand challenges such as climate change and biodiversity loss.  

 

You will collaborate closely with subject matter experts in the office-based R&D and Engineering teams, and field-based Operations team to carry out research and develop novel, innovative solutions to grand challenges in the environmental restoration space. Working with in-house scientists and engineers you will implement and automate these technical solutions, making best use of big geospatial datasets and cutting-edge data science techniques. You will engage closely with our field practitioners, including occasional site visits, to understand the realities of restoration on the ground and design solutions to improve and optimise best practice approaches. 

Your profile

• A passion for making a positive impact on nature and communities
• A collaborative approach to teamwork and eagerness to engage across multiple disciplines.
• Experience understanding the user requirements and developing iteratively
• Significant experience using Python to derive scientific and/or business insights 
• Experience applying common and emerging data science techniques to analysing large geospatial and non-geospatial datasets, and the application of these techniques to solve real-world problems
• The ability to deliver clear and engaging verbal presentations and write clear technical documentation, at the right level for expert or non-expert audiences.
• A scientific and methodical approach to problem solving, and ability to shape your work in a way that both solves problems and delivers business-relevant outcomes.
• A degree in a numerate subject (such as physics, environmental science, engineering) or equivalent experience.