Geospatial Data Scientist in Reading

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