Senior Geospatial Data Scientist Jobs

Syngenta Group

Location:
United Kingdom, London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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 that drive innovation in Syngenta's Computational Agronomy Department. This role will develop cutting-edge models and algorithms that enable data-informed agricultural decision-making, supporting Syngenta's mission to improve global food security and sustainable farming practices. Working within cross-functional teams, the Geospatial Data Scientist will bridge technical expertise with agricultural knowledge to create scalable, data-driven solutions for modern agricultural challenges.

Job Responsibility:

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

Requirements:

Master’s degree in Geographic Information Science, Remote Sensing, Computer Science, Data Science, or a related field with a strong focus on geospatial analysis
5+ years of experience in satellite and geospatial data analysis and modeling
Proficiency in Python programming, with experience in geospatial libraries such as GeoPandas, Rasterio, and related tools
Expertise in machine learning for earth observation applications (e.g., image classification, object detection, time series analysis)
Experience with geospatial foundation models
Experience with version control systems (e.g., Git) and collaborative software development practices
Experience leveraging generative AI tools to optimize workflows, automate tasks, and enhance productivity in geospatial analysis and data science projects
Excellent written and verbal communication skills in English
Strong analytical and problem-solving skills, with the ability to explain complex technical concepts to non-technical audiences

Nice to have:

PhD in a relevant field
Familiarity with agronomy concepts and agricultural systems
Expertise in deep learning techniques
Experience with cloud-based geospatial processing and big data technologies (e.g., Google Earth Engine, Spark)

What we offer:

Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance
Flexible working arrangements
We offer a position which contributes to valuable and impactful work in a stimulating and international environment
Learning culture (Together we Grow) and wide range of training options

Additional Information:

Job Posted:
December 12, 2025

Work Type:

Remote work

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Senior Geospatial Data Scientist