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Geospatial Data Scientist

Job Posted: 22 days ago

Salary: £ 70,000 - 80,000 / Annum
Job Type: Permanent
Location: Reading, Berkshire

Expire in: 5 days

Job Description

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

Before You Apply

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Bank details.
National Insurance number.
Date of birth.

You should not be asked for payment or irrelevant information. If you have concerns about a job advert or employer, seek guidance on how to proceed.

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