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