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About the Role

Systemiq is seeking a talented Geospatial Data Scientist to join its ANALYTIQ team. This role will leverage advanced analytical models to address complex system challenges across various platform areas, contributing to system-level impact in areas like strategy advisory, sustainable finance, and venture capital. The position involves collaboration with leading institutions and offers the opportunity to work within a dynamic team dedicated to fostering system change.

Responsibilities

Work across SYSTEMIQ's platform teams (energy, materials, nature, finance) on live projects, bringing geospatial analytics and expertise to support project delivery.
Design and build reusable models and interactive tools that deliver user insights.
Contribute to Analytiq's internal tooling stack, including reusable scripts, data pipelines, and applications to enhance project team efficiency and scale impact.
Introduce the latest geospatial, data science, and AI-assisted development methods to the sustainability analytics community and integrate new techniques into live projects.

Requirements

Strong analytical track record with proven achievements and impactful problem-solving skills demonstrated in various contexts.
Interest in contributing to an entrepreneurial environment where work can make a significant impact.
Shared passion for system change with SYSTEMIQ.

Skills

Strong quantitative/analytical background.
Hands-on use of GIS software (QGIS, ArcGIS).
Proficiency with geospatial Python libraries (GeoPandas, Rasterio, GDAL).
Experience handling raster and vector datasets at scale.
Familiarity with Python programming.
Understanding of open source and proprietary data sets.
Willingness to learn a broader set of skills to deliver impact.
Comfort using AI tools to accelerate the design and build of scripts, dashboards, or lightweight web applications.
Knowledge of nature/carbon accounting methodologies (beneficial).
Knowledge of climate risk analysis and scenario modelling (beneficial).
Domain expertise on environmental science, climate models, and Integrated Assessment Models (IAMs) (beneficial).
Domain expertise on land-use or food-systems modelling (beneficial).
Domain expertise on extreme-weather/precipitation trend analysis (beneficial).
Experience and interest in building and deploying web-based tools (front- and back-end experience is a plus).
Database management skills and experience (beneficial).

Location

London
Amsterdam
Munich

Work Type

Contractor role
Day rate or Fixed tbc
6 months (with high probability to extend)

Experience Level

Recent graduate or up to 2 years of work experience

Education Level

Master’s degree or higher in computer science, earth science, geography, engineering, environmental management, maths, physics or equivalent area

About the Company

Systemiq is the system change company, working to accelerate the transition to a net-zero, nature-positive and more inclusive economy.
As a certified B Corp, Systemiq partners with business, finance, policymakers and civil society to transform five interconnected systems: energy, nature and food, materials and circularity, sustainable finance, and urban transformation.
Systemiq brings together strategy, policy, market design and capital mobilisation to deliver tangible results in the real economy.
Founded in 2016, Systemiq has grown to a global team of more than 300 people across Brazil, France, Germany, Indonesia, Kenya, the Netherlands, the UK and the US, united by a singular focus on sustainability.
ANALYTIQ is Systemiq's analytics backbone, designed to apply top-tier analytics to address complex system challenges.
ANALYTIQ harnesses diverse analytical methodologies, including system optimization, GIS modelling, and digital app development.
Systemiq has a track record of driving system-changing impact through GIS analytics for programs like Partnership for Forests, Regeneration, and SPACES.

Equal Opportunity

At Systemiq, we absolutely believe diverse perspectives are essential to driving system change.
We are committed to creating an inclusive workplace where people feel respected, supported and able to do their best work.