Geospatial Data Scientist
CV-LibraryReading, BerkshirepermanentPosted: 26 May 2026
Apply NowGeospatial 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
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