Geospatial Data Scientist (Fixed Term)
Posted 4 days ago by Pinepeak
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Geospatial Data Scientist role involves working with a global team to develop advanced wildfire detection models using geospatial data science, AI, and remote sensing. The position focuses on integrating diverse datasets to create reliable, real-time fire maps, supporting the XPRIZE Wildfire competition finals in August 2025. The role requires collaboration across time zones and emphasizes the delivery of maintainable, professional-grade code. This is a fully remote position with flexible working hours and a negotiable compensation structure based on experience.
Key Responsibilities:
- 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.
- Collaborate across time zones with developers, modellers, and emergency response stakeholders.
- Deliver well-structured, maintainable, and professional-grade code.
Key Skills:
- Experience in geospatial data science and AI.
- Proficiency in remote sensing techniques.
- Strong programming skills for data pipeline development.
- Knowledge of image preprocessing techniques.
- Ability to work collaboratively in a global team.
- Experience with benchmarking algorithms and performance evaluation.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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.