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Geospatial data scientist (fixed term)

Wolverhampton (West Midlands)
Pinepeak
Data scientist
Posted: 10h ago
Offer description

Would you like to be part of a global team working to end destructive wildfires? Are you ready to apply your skills to a fast-paced, high-impact project with a clear, urgent mission? This is the opportunity for you.


The role: You will work at the intersection of geospatial data science, AI, and remote sensing to build advanced wildfire detection models. Your job is to integrate diverse datasets, archived and live satellite feeds, spectral imagery, ground truth fire records, and translate them into reliable, real-time fire maps. You will be designing pipelines, building datasets, training models, and integrating outputs into operational platforms. Your work will directly support our final product for the Space-Based Wildfire Detection and Intelligence Track A XPRIZE Wildfire competition finals in August 2025.


About us: You will be joining SIRIUS Wildfire Alliance, a global, interdisciplinary team of engineers, researchers, designers, and domain experts from organisations including Pinepeak Ltd, Spinthir Designs Limited, academic institutions, and emergency services.


Your mission:


* Develop GeoAI models to detect and outline wildfires from satellite data at high speed and high resolution.
* Build scalable data pipelines to ingest, clean, and harmonise multisource EO and ground truth data.
* Apply robust image preprocessing techniques (e.g. atmospheric correction, cloud masking, spectral index calculation, spatial resampling).
* Benchmark detection performance against standard algorithms and academic baselines.
* Stay focused on real-world performance: speed, accuracy, and interpretability matter.
* Collaborate across time zones and work closely with developers, modellers, and emergency response stakeholders to ensure usability and reliability.
* Deliver well-structured, maintainable, and professional-grade code.


Timeline: Starting ASAP and concluding by the end of August 2025.


Location: Fully remote with flexible working hours.


Compensation: We offer a flexible compensation structure based on experience and availability. Daily or monthly rates are negotiable. A competitive bonus is planned, contingent on the team receiving prize funding in the XPRIZE Wildfire finals.

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