Geospatial Data Scientist

Geospatial Data Scientist Remote (UK-based) Up to £80,000 + Bonus The Opportunity We’re partnered with a growing technology business developing advanced data-driven systems that operate in complex, real-world environments. Their work sits at the intersection of geospatial analytics, machine learning, and multi-source data, tackling challenging problems around data correlation, tracking, and real-time decision-making. They’re now looking for a Geospatial Data Scientist to play a key role in solving these problems and shaping how spatial data is used across their platform. The Role You’ll be working as part of a newly formed data science team, focusing on spatial analytics and multi-sensor data fusion. This role sits at the intersection of machine learning, geospatial data, and mathematical modelling, with a strong emphasis on solving real-world problems. What You’ll Be Doing Developing algorithms for spatial data correlation and fusion Analysing and integrating multi-sensor datasets (radar, LiDAR, RF, imagery, etc.) Building machine learning models for classification, regression, and tracking Applying statistical techniques to quantify uncertainty and improve predictions Performing feature engineering and dimensionality reduction on spatial data Building tools to visualise and validate model outputs Working closely with engineers to deploy models into production systems What They’re Looking For Strong background in geospatial / spatial data science Experience working with Python and geospatial libraries (GeoPandas, GDAL, Rasterio etc.) Solid understanding of machine learning and statistical modelling Experience working with complex or large-scale datasets Ability to work in a cross-functional engineering environment Nice to Have Experience with sensor data (radar, LiDAR, satellite, RF, etc.) Knowledge of tracking or filtering techniques (e.g. Kalman Filters, Bayesian methods) Background in remote sensing or sensor fusion Experience deploying models into production systems If you’d like to learn more about the role, team, or technology, feel free to apply or reach out for a confidential chat.