Join to apply for the Geospatial Data Scientist role at FSID - Food Systems Innovation & Delivery
Join to apply for the Geospatial Data Scientist role at FSID - Food Systems Innovation & Delivery
* Location: London, UK (Hybrid, minimum 3 days a week in office)
* Hours: Full Time
* Contract type: Permanent
Company
At Food Systems Innovation & Delivery (FSID), we combine cutting-edge predictive modelling with industry-grade software development to support the improvement of agricultural systems in both the developing and developed world.
A key pillar of our work focuses on predictive modelling to improve the early detection, surveillance and management of pest and disease outbreaks impacting crops that currently cause up to 40% of yield loss globally.
Objective of the role
We’re looking for a versatile and collaborative Geospatial Data Scientist with extensive experience in earth observation, machine learning, remote sensing, computer vision and classification problems. You’ll play a core role in developing models, identifying and exploring complex datasets, and communicating results that directly influence product and strategy. This position is ideal for someone who enjoys wearing multiple hats and is excited to work in a fast paced, early-stage start up environment.
Key Responsibilities
* Design and implement classification and computer vision models to detect, classify, and segment land cover types and change detection from remote sensing imagery.
* Work with multi-resolution and multi-temporal geospatial imagery (e.g., Sentinel, Landsat, commercial satellites).
* Design and implement machine learning and statistical models that handle spatio-temporal data.
* Analyse datasets (both large and small) from diverse sources (e.g., sensor networks, geospatial APIs, remote sensing) and develop forecasting models.
* Proactively identify emerging technologies to continually improve our technical approach (e.g. foundation models, such as clay).
* Communicate findings clearly and regularly to both technical and non-technical team members.
* Prototype/experiment with algorithms in multiple languages; while Python is ideal, openness to others (e.g., C++) is beneficial.
* Work in a highly collaborative small team.
Skills and Qualifications
Required:
* Degree in a quantitative field - such as mathematics/statistics, data science, remote sensing, computer vision, computer science.
* PhD or equivalent industry experience.
* Demonstrated experience with geospatial imagery, computer vision techniques and classification algorithms (e.g., semantic segmentation, object detection, pixel classification, random forest, convolutional neural networks).
* Experience with cloud platforms or geospatial pipelines (e.g., Google Earth Engine).
* Strong programming skills in (preferably) Python and experience with geospatial libraries (e.g., GeoPandas, GDAL).
* Familiarity with fast and critical review of scientific literature.
* Comfortable working end-to-end - from ideation and assessing different technical approaches and sourcing datasets, to training models and iterating to improve the overall methodology.
* Great communication skills in explaining complex ideas to a range of audiences.
* Creative problem solving and willingness to explore unfamiliar tools and languages as needed.
* Excellent team working skills.
Desirable but not required:
* Experience working in data sparse environments.
* Familiarity with data pipelines, MLOps, and cloud computing.
* Experience with weather and climate data.
* Contributions to open-source or academic publications.
Apply
Please provide your CV and a short supporting statement (approx. half a page) summarising why you are suited to the role, and how you meet the selection criteria.
To apply for this position, please email your CV and supporting statement to careers@fsid.co
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
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