Senior Geospatial Data Scientist

The Geospatial Data Scientist will leverage advanced geospatial analytics, machine learning, and remote sensing expertise to transform complex agricultural and earth observation data into actionable insights.

Requirements

• Develop and implement advanced geospatial and machine learning models to analyze agricultural datasets (satellite imagery, drone data, IoT sensors) and extract meaningful patterns.
• Design, build, and maintain scalable, cloud-enabled large data pipelines for cleaning, transforming, and integrating diverse geospatial data sources.
• Perform statistical analysis and data mining to uncover spatial and temporal trends that inform agricultural management strategies.
• Engineer innovative features from remote sensing data to enhance model accuracy and performance.
• Deliver high-quality, documented code for geospatial data processing using Python and relevant libraries.
• Translate analytical results into practical recommendations for agronomists, growers, and decision-makers.
• Stay current with advancements in geospatial technologies, remote sensing, and machine learning to maintain technical leadership.
• Contribute to technical reports, scientific publications, and presentations to share research outcomes.
• Collaborate closely with interdisciplinary teams, including agronomists, data scientists, and software engineers.

Benefits

• Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
• Flexible working arrangements.
• Learning culture (Together we Grow) and wide range of training options.