Cervest is an ambitious start-up with a mission to do good – we are trying to fix some of the problems that the Earth and humankind face with regard to sustainability, and climate risk. It’s a big challenge, and it’s why we’ve built a research team with an impressive track record in climate science, statistics, machine learning and AI.


Focus of the role:

The science team at Cervest combines expertise in statistics, computer science, data engineering, machine learning, physics and remote sensing with one goal: to make Earth Science decision-useful for people and organisations to plan for the future. This starts with the quantification of a broad range of physical climate risks, both short- and long-term. We are looking to augment our team with specific expertise in processing, analysing and interpreting weather and climate data at scale. We are looking for candidates who are excited to combine their scientific and software engineering knowledge with our machine learning and engineering teams to help us build the necessary data pipelines and democratise weather and climate data.


We are a pro-diversity company and passionate about bringing together people of all backgrounds, because we know that a diverse team will help us achieve our mission sooner. 


What you’ll be doing – main responsibilities

  • Build robust, maintainable, scalable systems to manage weather and climate data;
  • Collaborate with ML scientists to extract meaningful features from weather data;
  • Lead the specification of scientifically informed statistical models;
  • Participate in decisions regarding Cervest’s science and product roadmap;
  • Engage in an open and collaborative scientific environment within Cervest and its external collaborators from academia and industry;
  • Publish and present your scientific and engineering work internally and externally.

Great if you have:

  • 5+ years of professional experience and/or have advanced degree in a quantitative field, ideally in the Earth Sciences
  • Solid software engineering skills
  • Experience with GIS and handling geospatial data
  • Experience handling meteorological or climatic raster data (e.g. NetCDF or GRIB)
  • Academic or professional expertise in atmospheric physics, meteorology or climate science
  • Interest in solving Earth science problems using AI

Even better if you have:

  • Experience with ECMWF and CORDEX data products
  • Experience with scientific computing and global circulation models
  • Experience writing software in industry or for a collaborative open source project

What’s in it for you:

Salary – £50K – 60K / annum (dependent on experience)

Opportunities to learn, grow and thrive with support from talented and empathetic team mates

This role will be mainly remote for at least the remainder of 2020 and potentially longer-term; however you must be able to work core UK office hours, so between 8-4 or 10-6. Our working language is English.

Fuller list of benefits on our main career page – we’re an early stage startup and currently reviewing our benefits in light of becoming a remote-first company. We are committed to ensuring that we support our team in developing in line with their aspirations and talents as well as continuing to develop our culture in line with our values.


Application information:

For a confidential, informal discussion on Cervest and the role, please feel free to contact Dr Maxime Rischard at maxime@cervest.earth. Alternatively please send your CV and a brief cover letter directly to Maxime at the same email address. We do not respond to cold outreach from recruitment agencies.

The interview process for this role will be approximately 7-8 hours in total (which we accommodate as much as possible around your obligations), comprising four stages: 

  • An initial call with the team lead (30-60 minutes)
  • Mostly non-technical interviews with members of the team and elsewhere in the business (2-3 hours)
  • A technical test which you can do in your own time or as a pairing exercise, followed by a discussion of the test (2 hours)
  • Final interviews with our CEO Iggy and one-two other members of the leadership team (1-2 hours)

Ernesta Baniulyte

Ernesta Baniulyte 
Product Designer

Ernesta has been a full-stack product designer for more than five years. She has valuable experience in the B2B, B2C and B2B2C worlds, and while working at both agencies and product/service companies, she has learned to develop UX research infrastructures to support strategy.

At Cervest, Ernesta contributes to all stages of the product development process – from initial ideation to the exacting detail of UI design – finding new ways to visualise data, and ensure our product is intuitive and user friendly.

Ernesta’s decision to join Cervest was inspired by her desire to make the world a safer, better and more aware place.

Ramani Lachyan 
Junior Research Scientist

Ramani joined Cervest after obtaining her Master’s in Physics from ETH, Zurich. She brings with her valuable experience gained through working on model building and data simulation pertaining to neutrino physics.

Ramani has joined Cervest as a Junior Research Scientist and will be working on creating algorithms that allow for the extraction of physical observables from data from a range of sources.


Lukas Scholtes 
Statistical Scientist

Lukas completed his maths BSc at ETH Zurich, followed by an MSc in statistics at Imperial College. He wrote his MSc thesis in collaboration with Cervest, on the modelling of North American wheat yields via Bayesian parametric and non-parametric methods.

Following an internship in the NGO sector in Bangladesh and a stint in the world of fintech, Lukas comes to Cervest, excited to apply himself to the challenges that are arising as a consequence of unsustainable land-use policies and climate change.

Aidan Coyne
Junior Researcher

Aidan is currently pursuing a Bachelor of Arts and Sciences in Science and Engineering at University College London with a focus on computer science and data informatics.

At Cervest, Aidan is working on researching and assimilating a database of articles categorising the reasons for extreme decreases in crop yields across Europe. The information will be used to help predict the impact of weather events on crop yield and contribute to  Cervest’s ability to bring clarity to decision making around climatic and extreme events.

While studying, she also volunteers with environmental conservation groups and youth engagement programmes.

Alex Rahin
Chief Product and Technology Officer

Alex is an entrepreneurial technology leader with over 25 years of hands-on experience in developing and executing innovative product and technology strategies.

Prior to Cervest, Alex served as Chief Product & Technology Officer at Beamly, a technology and data company delivering data platforms & infrastructure, data & content management solutions, and AI-powered eCommerce analytics, leading Beamly to a successful exit in 2020.

Before working at Beamly, Alex served as Chief Data Officer at Just Eat, where he built an end-to-end data organization, leading the company’s data-driven transformation with the launch of a unified customer data platform and scalable machine learning products

Earlier in his career, Alex held prominent roles at Zalando, Amazon, Microsoft, Intel, Hewlett Packard, and three technology startups achieving successful exits in all three.

Alex holds a BSc in Electrical Engineering & Computer Science from UC Berkeley.