Job position
Open position as:
Researcher – Geodata Scientist
Systematica, on behalf of Transform Transport, is looking for a dedicated Geodata Scientist to join its dynamic and growing team in Milan.
Transform Transport is a non-profit research Foundation focused on innovation in mobility and transport planning. Committed to improving cities and people's lives, it focuses on applied research with a positive social and environmental impact.
This is a opportunity to work on innovative and high-impact urban projects, contributing to cutting-edge research while continuously developing your skills in a collaborative and dynamic environment.
Key Responsibilities:
- Conduct applied research in urban mobility, with a focus on data-driven approaches
- Collect, process, monitor, and validate location-based datasets
- Apply machine learning and AI techniques for spatial data modeling and forecasting
Preferred start date: June 1st, 2026
Contract type: Full time - Freelance collaboration (VAT registration required)
Location: Milan, Italy
Applicants are required to add the portfolio link to their CV.
Education
M.Sc. in Geoinformatics, Data Science, or similar
Experience
At least 3 years of working experience in the industry or academia
Skills
Required skills:
- Strong interest and professional experience in urban mobility and city planning
- Proven experience in urban data analysis, especially on analysis and synthesis of large and complex dataset, and strong interest in research is a plus
- Ability to manage and process diverse data sources, including: Open data (e.g., OpenStreetMap, Overture Maps) Image-based data (e.g., satellite imagery, street view images) GPS and IoT data
- Solid knowledge of geospatial analysis and spatial statistics (e.g., spatial clustering, spatial autocorrelation, spatial regression, etc.)
- Proficiency in Python for geospatial data science (e.g., pandas, NumPy, GeoPandas, MovingPandas, Shapely, scikit-learn)
- Experience with data visualization tools: Static (e.g., Matplotlib, Seaborn, RAWGraphs) and Interactive/web-based (e.g., Leaflet, Mapbox, Streamlit, Flask, React)
- Familiarity with LLMs (e.g., Claude) in structured and auditable workflows
- Experience with GIS tools such as QGIS and ArcGIS
- Proficiency in English (C1)
- Proficiency in Italian (B2)
Nice to Have:
- Experience with image and video processing libraries (e.g., OpenCV, YOLO)
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with database systems (e.g., SQL, PostgreSQL, PostGIS)
- Ability to integrate quantitative and qualitative data into analytical workflows
Soft Skills:
- Passion for data analytics applied to urban environments, spatial accessibility, and public space
- Interest in behavioral mapping, citizen science, or participatory research methods
- Strong organizational and time management skills
- Self-motivated, proactive, and able to work both independently and in a team
- Interest or experience in research environments