Technify Talent
Geospatial Data Scientist
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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.
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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
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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.
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