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.

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.

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

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