Rainforest Builder – Carbon Project Analyst
Full time, permanent position based in London, UK
Closing date: 1st Dec 2024
About Rainforest Builder
Rainforest Builder is an integrated nature tech company focused on the restoration of tropical forests at landscape scale. We are on a mission to restore a million hectares of rainforest in Africa, sequestering hundreds of millions of tonnes of CO2, restoring native biodiversity, and delivering equitable economic growth to our host communities.
We are working to combine forestry industry know-how with the latest restoration science, AI and technology to deliver the highest-quality carbon and biodiversity credits. We source, finance, and operate tropical forest restoration projects for some of the world’s largest investors. Our first two countries of operation are Ghana and Sierra Leone.
What makes us different:
- Science-focused: We are investing heavily to build globally-leading knowledge on rainforest restoration, from R&D in species selection and silvicultural methodologies, to applying advanced analytics to projecting carbon and biodiversity outcomes.
- Biodiversity at our core: We specialise in restoring degraded land to indigenous tropical forest ecosystems, using only native species, ensuring not only large-scale carbon sequestration but the restoration of biodiversity too.
- Positive community impact: We focus on landscape-scale restoration with the highest standards of direct community engagement.
- Fully integrated approach: We execute and manage projects directly with our own specialist restoration forestry teams on the ground.
Your Role
As a Carbon Project Analyst at Rainforest Builder, you will play a key role in developing, documenting and monitoring large-scale forest restoration projects. You will work with colleagues across Rainforest Builder’s science and operations teams, managing data flows and producing analytical outputs to support our project development, restoration science, data analysis and monitoring workflows.
Your Key Responsibilities
- Contributing to project design and certification documentation for new projects end-to-end.
- Data cleaning: work with a wide range of structured and unstructured data to build clean, tidy, and well-documented data products.
- Producing high quality data visualisations and reports for communicating insights internally and externally.
- Contributing to the development and maintenance of RB codebase for data processing and analytics.
- Supporting decision-making around new project development.
- Taking on a variety of roles related to carbon project development as determined by the needs of a fast-growing company.
To Apply
To apply, please send us your resume and either a 3 minute video or 800 word cover letter explaining your interest in the role, and how your experience and skillset make you a good fit. Please send your application to James Gilroy, Chief Scientist at james@rainforestbuilder.com.
Essential requirements
- Graduate-level qualification (or equivalent experience) in computer science, environmental science, or other quantitative science.
- Strongly self-motivated, proactive and adaptable.
- Exemplary data analysis and visualisation skills.
- Experienced user of QGIS, ArcGIS or similar platforms for spatial data manipulation and presentation.
- Exemplary written communication skills.
- Fluency in English (proficiency in additional languages commonly spoken in tropical West Africa is advantageous).
- Strong teamwork skills and proven track record in delivering data-based projects on tight schedules.
Desirable requirements
- Skilled user of R and/or Python for spatial data analysis and presentation.
- Excellent interpersonal and cross-cultural communication skills.
- Commitment to equity, diversity, and inclusion in the workplace and research environment.
- Demonstrated interest in ecosystem restoration, carbon markets, and/or decarbonisation.
Benefits for UK-based employees
Competitive salary, with 25 days paid holiday per year, plus bank holidays. Dedicated professional development allowance and wellness allowances. Generous parental leave and workplace nursery scheme.