Jan Magnuszewski
Jan Magnuszewski

Jan Magnuszewski

Geospatial Data Scientist · London

MSc Urban Spatial Science (UCL CASA), BA Economics & Geography (Leeds). Currently at CACI, working on location intelligence.

  • GeoAI
  • Earth Observation
  • Spatial Modelling
  • Urban Analytics

I'm a geospatial data scientist working on complex problems with spatial data, mostly using open-source software and data. My work includes urban analysis, Earth observation, geospatial embeddings, and spatial modelling.

I hold a Master's with Distinction in Urban Spatial Science from the Bartlett Centre for Advanced Spatial Analysis (CASA), UCL, and an undergrad degree in Economics and Geography from the University of Leeds. My academic journey also took me to Seoul for data science studies at Hanyang University and Tokyo for a summer sustainability programme at Sophia University.

At CACI Ltd, I work on location intelligence for both internal research and consumer-market clients - spatial interaction modelling for network strategies, building geospatial data product pipelines in Python, and implementing cloud-native spatial data infrastructure.

Selected work

I'm most interested in urban studies, sustainability, the environment and biodiversity, and in methodological advances in geospatial modelling. My projects range from analysing urban liveability patterns to deep learning models for satellite imagery analysis. I'm passionate about making results accessible through interactive visualisations and web maps - I've created applications for university research, work assignments, and just for fun.

Urban Embeddings Explorer

Urban Embeddings Explorer

2025 · London, UK

Discovering visually similar neighbourhoods across 200+ cities from satellite embeddings.

remote sensingdeep learningembeddingsweb dev
Auckland Urban Liveability Index

Auckland Urban Liveability Index

2022–2025 · University of Leeds

A composite liveability index for Auckland, linking 29 spatial indicators to socioeconomic outcomes.

urban analyticsspatial statistics

All projects →

Experience

Feb 2025 – present
Geospatial Data ScientistCACILondon, UK
2023–2024
Research AssistantThe Local Data CompanyRemote
2019–present
Technical Operations ManagerSelf-employedRemote
2021
Research AssistantUniversity of LeedsLeeds, UK

Education

2023–2024
MSc Urban Spatial Science DistinctionUniversity College London, The Bartlett Centre for Advanced Spatial AnalysisLondon, UK
2019–2023
BA Economics and Geography First-ClassUniversity of LeedsLeeds, UK
Jun–Jul 2023
Summer School, Global SustainabilitySophia UniversityTokyo, Japan
2021–2022
Year abroad, Urban Planning and EngineeringHanyang UniversitySeoul, South Korea

Awards & publications

Oct 2025
TerraMind Blue-Sky Challenge, round 2 winner (ESA/IBM)
Mar 2025
Magnuszewski, J., Beecham, R., Burns, L. "A Mechanism for Quantifying and Evaluating Modern Urban Densification", Applied Spatial Analysis and Policy
2023
Society for Location Analysis, Undergraduate Student Award 2023
A year at CASA: infographic of modules, study hours, grades and study spots during the MSc
A self-tracked look back at the CASA MSc year: hours studied per module, study spots, and the hours spent stuyding throughout the year.

Skills

Software and tools
Python, SQL, PostGIS, DuckDB, Git, Google Earth Engine, AWS, R, NetLogo, Mapbox GL JS, Alteryx
Geospatial
Earth Observation (multispectral imagery), Cloud-native stack (GeoParquet, Xarray, Dask, STAC), Carto, H3, QGIS, Spatial Econometrics, Spatial Interaction Models
AI/ML
PyTorch, Geospatial foundation models (TerraMind, Clay, Tessera), CNNs
Learning
Webdev, React, FastAPI, Vector DBs, HTML/CSS/JS, Docker, Knowledge Graphs
Languages
English (fluent), Polish (native), French (basic)
Full CV PDF ↓

Fancy a coffee and a chat? Send me an email.