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Geospatial Data Analyst (contractor)

isometric · Remote, United Kingdom

Data Science / AI / Machine LearningRemoteImported listingfull-timeabout 10 hours ago

About The Role

  • Isometric is the AI-native certifier of climate solutions.
  • We combine scientific rigor with best-in-class technology to unlock the capital and trust needed to reverse climate change.
  • Our customers, including Microsoft and Google, trust us to help them avoid greenwashing.
  • We’re looking for doers with a bias to action. Our team is brilliant and cares (a lot).
  • Join us for the most impactful role of your career—and the best job you’ve ever had.

Things you’ll do in this role

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Work with project developers to develop code to quantify net carbon removal or reduction in biosphere projects going through Isometric’s validation & verification process, in line with Isometric protocols. This includes:

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Conducting AGB estimates;

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Developing dynamic baseline approaches;

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Developing uncertainty quantification approaches.

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Support Isometric’s commercial team in providing bespoke indicative analysis to inform potential project developers about their carbon sequestration potential.

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Abstract the bespoke solutions you develop for project developers into reusable code components.

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Collaborate with the Data Science and Biosphere Science teams at Isometric to review and adapt your approaches.

Things we’re looking for

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  • Proficiency in data analysis, geospatial data and using cloud-hosted tools (e.g. BigQuery, Jupyter).
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  • Strong Python skills, with experience in data abstractions, pipeline management and integrating machine learning solutions.
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  • Clear communication skills and skilled ability to work with customers.
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  • Adaptability to evolving priorities and a proactive approach to solving impactful problems, especially in dynamic environments.

This role isn’t for you if

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  • You want a remote job. We value in-person collaboration and spend three days a week in the office.
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  • You prefer staying within your area of expertise and operating in structured environments. We navigate ambiguity at extreme pace and everyone is a generalist.

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