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&amp;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.  <div style="margin:0px;padding:0px;color:rgb(0,0,0);font-family:Arial , 'Arial_MSFontService' , sans-serif;font-size:16px;font-style:normal;font-weight:400;text-align:left;background-color:rgb(255,255,255);">RESPONSIBILITES:   <ul style="list-style-type:disc;margin-left:0px;"><li style="margin-left:24px;">Developing data-driven and science-based insights on the state of nature and nature-based solutions. This will include researching the most appropriate methodologies, assessing feasibility, training and testing different approaches, and deploying the resulting models. </li><li style="margin-left:24px;">Measuring and communicating the quality of data and insights</li><li style="margin-left:24px;">Deploying models into our in-house natural capital assessment tool, Prospector. Integrating different in-house and publicly available models and datasets to derive new insights.  </li><li style="margin-left:24px;">Exploratory data analysis - using statistical and visualisation tools to understand patterns, trends, and anomalies and summarise results</li><li style="margin-left:24px;">Cleaning, preprocessing and standardisation of diverse observational and model data required for development. Our data sources range from public and private satellite data to historic maps, to drone data, to in-situ data gathered from the field.</li><li style="margin-left:24px;">Understand the business and scientific context to build the right solutions to real-world challenges. Developing in an iterative and Agile manner.</li></ul></div><div style="margin:0px;padding:0px;color:rgb(0,0,0);font-family:Arial , 'Arial_MSFontService' , sans-serif;font-size:16px;font-style:normal;font-weight:400;text-align:left;background-color:rgb(255,255,255);"><ul style="list-style-type:disc;margin-left:0px;"><li style="margin-left:24px;">Creating geographically scalable solutions with flexibility to be applied to different locations and fold-in new datasets  </li><li style="margin-left:24px;">Documentation and continuous improvement of your methods. </li><li style="margin-left:24px;">Communicating complex and scientific ideas to customers, collaborators and internal stakeholders</li><li style="margin-left:24px;">Collaborating as part of an interdisciplinary and cross-functional team.</li></ul></div> Your profile <ul style="list-style-type:disc;margin-left:0px;"><li style="margin-left:24px;">A passion for making a positive impact on nature and communities</li><li style="margin-left:24px;">A collaborative approach to teamwork and eagerness to engage across multiple disciplines.</li><li style="margin-left:24px;">Experience understanding the user requirements and developing iteratively</li><li style="margin-left:24px;">Significant experience using Python to derive scientific and/or business insights </li><li style="margin-left:24px;">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</li><li style="margin-left:24px;">The ability to deliver clear and engaging verbal presentations and write clear technical documentation, at the right level for expert or non-expert audiences.</li><li style="margin-left:24px;">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.</li><li style="margin-left:24px;">A degree in a numerate subject (such as physics, environmental science, engineering) or equivalent experience.</li></ul>

Zulu Ecosystems' mission is to responsibly regenerate natural ecosystems so that the planet and its communities can thrive.

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.   &nbsp;&nbsp; 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,&nbsp;plan,&nbsp;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.&nbsp;&nbsp; Your mission We’re&nbsp;seeking&nbsp;an&nbsp;innovative and collaborative&nbsp;physical, environmental or data&nbsp;scientist with a passion for extracting new scientific insights from big,&nbsp;complex&nbsp;or noisy&nbsp;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. &nbsp;&nbsp;You will collaborate closely with subject matter experts in the&nbsp;office-based&nbsp;R&amp;D&nbsp;and Engineering teams,&nbsp;and field-based Operations team&nbsp;to&nbsp;carry out research and&nbsp;develop novel,&nbsp;innovative&nbsp;solutions to grand challenges in the environmental restoration space.&nbsp;Working with&nbsp;in-house scientists and engineers you will implement and automate these technical solutions, making best use of big geospatial datasets and&nbsp;cutting-edge&nbsp;data science techniques. You will engage closely with our field practitioners, including occasional site visits,&nbsp;to understand the realities of restoration on the ground and design solutions to improve and optimise best practice approaches.&nbsp; <div>RESPONSIBILITES:  &nbsp;<ul><li>Developing data-driven and&nbsp;science-based&nbsp;insights on the state of nature and nature-based solutions. This will include researching the most&nbsp;appropriate methodologies, assessing feasibility,&nbsp;training&nbsp;and testing different approaches, and deploying the resulting models. </li><li>Measuring and communicating the quality&nbsp;of data and insights</li><li>Deploying&nbsp;models&nbsp;into our in-house natural capital assessment tool, Prospector.&nbsp;Integrating different in-house and publicly available models and datasets to derive new insights.  </li><li>Exploratory data analysis -&nbsp;using&nbsp;statistical and visualisation tools to understand patterns, trends, and anomalies and summarise results</li><li>Cleaning, preprocessing&nbsp;and standardisation of&nbsp;diverse&nbsp;observational and model data&nbsp;required&nbsp;for development. Our data sources range&nbsp;from public and private satellite data&nbsp;to historic maps, to drone data, to in-situ data gathered from the field.</li><li>Understand the business&nbsp;and scientific&nbsp;context&nbsp;to&nbsp;build&nbsp;the right&nbsp;solutions&nbsp;to real-world challenges. Developing in an iterative and Agile manner.</li></ul></div><div><ul><li>Creating geographically scalable solutions with flexibility to be applied to&nbsp;different locations&nbsp;and fold-in new datasets &nbsp;</li><li>Documentation and continuous improvement of your methods.&nbsp;</li><li>Communicating complex and scientific ideas to&nbsp;customers,&nbsp;collaborators&nbsp;and internal stakeholders</li><li>Collaborating&nbsp;as part of&nbsp;an interdisciplinary and&nbsp;cross-functional team.</li></ul></div> Your profile <ul><li>A passion for making a positive impact on nature and communities</li><li>A collaborative approach to teamwork and eagerness to engage across multiple disciplines.</li><li>Experience understanding the&nbsp;user&nbsp;requirements and developing iteratively</li><li>Significant&nbsp;experience&nbsp;using Python to&nbsp;derive&nbsp;scientific and/or&nbsp;business&nbsp;insights&nbsp;</li><li>Experience applying&nbsp;common&nbsp;and emerging&nbsp;data science techniques&nbsp;to&nbsp;analysing large&nbsp;geospatial and&nbsp;non-geospatial datasets, and the application of these&nbsp;techniques&nbsp;to solve real-world problems</li><li>The ability to deliver clear&nbsp;and engaging&nbsp;verbal presentations and write clear technical documentation, at the right level for&nbsp;expert&nbsp;or&nbsp;non-expert audiences.</li><li>A scientific and methodical approach to problem solving,&nbsp;and&nbsp;ability to&nbsp;shape your work in a way that&nbsp;both&nbsp;solves problems and delivers business-relevant outcomes.</li><li>A degree in a numerate subject&nbsp;(such as physics, environmental science, engineering)&nbsp;or equivalent experience.</li></ul>&nbsp;

Senior Geospatial Data Scientist

About the Job

About the Company

Zulu Forest Sciences