About the Project image
About the Project

During the internship, you will have an opportunity to work on full-cycle Data Science projects.  Starting from business and data understanding and finishing with the deployment of a ready to use service with ML inside. 

We have experienced mentors who will guide you through all stages. 

Main technologies that are used during a project: Python, DL frameworks (PyTorch), ML libraries (NumPy, SciPy), Remote sensing data processing (GDAL, GeoPandas, Rasterio), Backend (Django, PostGiS), Frontend (React JS).

After successfully completing the internship you will get the opportunity to join our team. 



Some of the projects we’ve delivered have a significant impact on pressing environmental issues and are solving various real-world problems. We are fostering active use of geoinformation systems to support environmental organizations in their active counteracting to ecological problems. Our goals are ambitious but achievable, especially when backed by advanced tech and high ecological and worldview values.

With our partners from SCGIS Ukraine, we are working on different kinds of Computer Vision projects, analyzing Earth remote sensing data (satellite and drone imagery). One of the projects we’ve started with our interns is ClearCut.

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Internship requirements

Skills and qualification:

  • Minimum Intermediate level of English;
  • Good knowledge in Probability Theory, Mathematical Statistics, and Linear Algebra;
  • Basic understanding of common Machine Learning and Deep Learning concepts;
  • Knowledge of algorithms and data structures;
  • Familiarity with Python;

Will be a plus:

  • Experience with at least one of the modern Deep Learning frameworks (Tensorflow, Keras, PyTorch);
  • Basic understanding of SQL and NoSQL databases;
  • Docker, git.

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