Geostatistical Scientist London, England
Job description
About us:
BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero’s ratings and research tools support buyers, intermediaries, investors, and carbon project developers.
Founded in April 2020, our team combines climatic and earth sciences, sell-side financial research, Earth observation, machine learning, data and technology, engineering, and public policy expertise. We work from five continents.
Job Description:
We are looking for outstanding Geostatistical Scientists to join our Geospatial and Earth Observation team, to assist in developing cutting-edge statistical and machine learning models for assessing risk in the Voluntary Carbon Market. You will work primarily in an R&D environment, reviewing academic and other scientific literature and developing prototype models, and working with our engineers to deploy and maintain production-grade tools and pipelines. You will also collaborate with our ratings scientists and product team, to understand the questions driving our work, and the needs of our clients. We work with a variety of remotely sensed and other spatial datasets, both produced in-house and from third-party sources, so we are looking for someone with solid GIS experience and excellent coding abilities. You will have a strong scientific background in spatial statistics applied in the environmental or medical sciences. Quantifying uncertainty is a crucial aspect of our work, so knowledge of Bayesian methods would be a big advantage.
It would be great if you could come into the office in Old Street, London 2-3 days a week, but we also welcome applications for remote working (GMT +/- 3 hours). You will report to Dr David Morley, previously at TomTom and with a background in spatial data science at Imperial and Oxford. You will also work with our Data Science team led by Thomas Huijskens, formerly Associate Partner at McKinsey & Company and Senior Principal Data Scientist at QuantumBlack.
Responsibilities:
Review the state-of-the-art of statistical models being used to assess carbon project efficacy, and learning from similar methods applied across a wider range of disciplines
Drive innovation, with an initial focus on assessing counterfactual scenarios and the likelihood of activity displacement from nature based carbon projects
Contribute to the continued advancement of covariate inputs used in our proprietary models, especially around the interaction of human pressures and environmental change at local and national scales
Work with our engineers to deploy and maintain geostatistical models, and with our ratings scientists and product team, to understand their needs and communicate results
Build and strengthen research collaborations across academic and business communities
Communicate internally and externally through blog posts, webinars, conferences and scientific publishing
You will be our ideal candidate if you:
Have a PhD (or equivalent industry experience) in a subject related to spatial statistics, with a strong interest in Bayesian methods and machine learning
Have a solid understanding of GIS concepts, digital cartography, and experience in efficiently handling large raster and vector datasets
Have excellent coding skills in Python for geospatial and statistical applications, ideally with experience of parallel computing
Are familiar with some of the following: Postgres, PostGIS, Snowflake, AWS, Prefect, GitHub, QGIS, R
Are excited to work with people from a diverse range of backgrounds, spanning remote sensing, ecology, engineering, policy and finance, and from all corners of the world
Are positive and kind. As a team and as a company, we believe in being kind over being nice. We are constantly giving and receiving constructive feedback and we are always trying to be empathetic
Please know that even if you don’t have experience in all the areas above but think you could do a great job and are excited about building a great company culture, bringing transparency to the voluntary carbon market, and being part of a fast-growing team, we would love to hear from you!
What we’ll offer:
Competitive salary and equity in a rapidly growing VC-backed start-up through share options
Ability to learn and develop alongside a range of sector specialists from the scientific, economic and business community
Opportunity to work in a cross-cutting role, interacting with lots of different parts of the business
25 days leave (with additional time off between Christmas and New Year, and for your birthday)
Private medical insurance, dental, critical illness cover, income protection, life assurance, medical cash plan, cycle to work scheme, and a health and wellness cash allowance.
Enhanced parental leave
Regular social events
Opportunity to work remote or in our Central London office space (Old Street) with flexibility to work from home 2 days a week.
Nomad working over the summer, allowing you to work from another country.
Our interview process:
We have a quick turnaround time and will let you know as soon as we can after each stage. Ask ANYTHING. The whole process is as much about making sure we are a fit for you as much as the other way around.
Initial screening interview (15 mins)
Second interview(s) + skills test
Final interview with senior management
Reference checks + offer
We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We are therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability.
