Environment and Sustainability Data Scientist


The BC3 offers a full-time data scientist position in order to support the research activities of Research Line (RL) 5 on Integrated Modelling of Coupled Human-Natural Systems in the framework of the project “Exploration, analysis and forecast of biodiversity: possible responses to the 2030 strategy of sustainable development in a scenario of global change” of the Biodiversity Program under the Complementary Plan funded by the Spanish Ministry of Science and Innovation through the Recovery,  Transformation and Resilience  Plan and the Basque Government’s Innovation Fund. Furthermore, under the unit of excellence Maria de Maeztu´s scientific plan contributing to the activity one – Interdisciplinary Research.

During the past decade, the RL has envisioned and built the ARIES (ARtificial Intelligence for Environment and Sustainability platform), a technology that integrates network-available data and model components through semantics and machine reasoning.

Its underlying open-source software (k.LAB ) handles the full end-to-end process of integrating data and with multiple model integration types to predict complex change. It also supports selection of the most appropriate data and models using cloud technology and following an open data paradigm: the resulting insight remains open and available to society at large, and becomes a base for further computations, contributing to an ever-increasing knowledge base. For the first time, it is possible to consistently characterize and publish data and models for their integration in predictive models, building and field-testing technologies that have eluded researchers to date.

We are looking for an individual who can support strategic activities related to integrated data science and collaborative, integrated modeling on the semantic web (semantic meta-modeling).

The selected candidate will:

Contribute to the ARIES (ARtificial Intelligence for Environment and Sustainability) platform, a semantic web infrastructure that uses artificial intelligence (AI) to build computational solutions to environmental, policy and sustainability problems. This technology, based on machine reasoning, machine learning, distributed computing and high-performance, multi-disciplinary and multi-paradigm system modeling, is the flagship product of the Integrated Modelling Partnership (IMP) which is expected to serve a growing number of worldwide users (from academia, governments, NGOs and industry) in the years to come.

Initial Tasks:

  1. Strong analytical skills and an ability to learn quickly and to think outside the box. Our work is very innovative and you should expect your job to be as intellectually challenging as rewarding. A strong motivation and a desire to learn and explore new technologies are a must.
  2. Excellent interpersonal and communication skills. Experience in knowledge dissemination.
  3. Excellent written and oral command of English.
  4. A degree in Computer Science, Environmental Sciences, Engineering, or other fields of relevance to Ecoinformatics.
  5. A working knowledge of geomatics and in particular open source GIS: OGC services, Geotools, Geoserver, QGIS etc.
  6. A working knowledge or degree related to Remote Sensing.
  7. A strong background in data management, along with programming skills (any language and in particular Python or R). Experience with database management systems such as PostgreSQL.
  8. Experience with semantics programming and machine reasoning knowledge (any language and software, in particular k.LAB technology and k.IM language).
  9. Familiarity with the ARIES environment.
  10. Full fluency with Git technologies and Docker containers.
  11. Experience with an agile development process with industry-standard issue tracking, continuous development and deployment (BC3 uses the Atlassian toolchain: Jira, Bamboo, Confluence).
  12. Experience with machine learning will be an asset.
  13. An ability to work independently, with a diverse, multi-location and multi-lingual team.

Implied subtasks:

  • Build modeling process: from data cleaning to interpretation of the model results.
  • Interpret the resources and images from different platforms (RS).
  • Write in semantics (k.IM language).
  • Understand how the k.LAB modeling works.
  • Profiling code execution.

After 4 months the candidate is expected to:

  1. Collaborate on developing, strengthening and debugging the GIS and remote sensing process and issues.
  2. Collaborate on the definition of unit tests and code review policies for both k.LAB and the associated data/model products.
  3. Participate in all aspects of the collection, cleaning, analysis, model building and deployment of modeling and data science process in k.LAB technology.
  4. Communicate and coordinate with both technical and non-technical stakeholders.

Term of contract

  • Envisaged starting date: July 2023
  • End date: 30thof June, 2024
  • Probationary period: 3 months.
  • Excellent opportunities for longer term employment upon successful performance.


The position will carry competitive salary, matching the academic and professional profile of the applicant, and excellent work conditions.



Basque Centre for Climate Change, Leioa, Spain.

As an HR Excellence awarded institution, BC3 is committed to conciliating research-academic requirements and family duties. BC3 is particularly concerned with creating equal opportunities for people independently of gender, culture, and race. Anyone with relevant qualifications is therefore strongly encouraged to apply for the position.

Application procedure:

Fill the form below and upload one PDF document with the following information:

  1. CV
  3. Contact information of two referees.


12 June, 2023 (CET 15:00).

Informal enquiries can be made to Carmen Köhler ( carmen.koehler@bc3research.org) noting in the subject of the message “Environment and Sustainability Data Scientist”.

Please consider that only applications sent through the form included at the bottom of the BC3 web page will be considered (https://info.bc3research.org/job-offers/).,

Contract funded by:

Complementary plan on Biodiversity

This contract is co-funded by the grant CEX2021-001201-M, financed by MCIN/ AEI/10.13039/501100011033

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María de Maeztu Excellence Unit 2023-2027 Ref. CEX2021-001201-M, funded by MCIN/AEI /10.13039/501100011033

©2008 BC3 Basque Centre for Climate Change.