Senior Data Scientist – Geospatial AI – Abu Dhabi

Discover the Opportunity

We’re partnering with an innovative, high-growth technology organisation in Abu Dhabi that is leveraging AI, geospatial data, and advanced technologies to build scalable, data-driven products.

Operating at the intersection of AI/ML and advanced analytics, the organisation is developing cutting-edge solutions that utilise large-scale geospatial datasets to drive insight and decision-making.

This is a unique opportunity to join a fast-growing team working on complex, real-world data challenges using advanced data science and machine learning techniques.

Discover the Role

As a Senior Data Scientist, you will act as a senior individual contributor responsible for developing advanced analytical and predictive models using large-scale geospatial datasets.

You will work closely with cross-functional teams including engineering, product, and data teams to design and deploy AI-powered solutions that extract meaningful insights from complex geospatial data.

This role is highly hands-on and suited to individuals who enjoy working at the intersection of research, engineering, and production systems, with the opportunity to influence both product development and technical direction.

Discover the Responsibilities

• Develop and deploy advanced AI/ML models to extract insights from large-scale geospatial and remote sensing datasets
• Apply techniques such as computer vision, deep learning, and statistical modelling to solve complex analytical problems
• Work with satellite, drone, and sensor data to build models for classification, detection, prediction, and optimisation
• Design and build scalable data pipelines and AI systems for processing, analysing, and visualising high-volume geospatial data
• Collaborate with software engineers, data engineers, and product teams to deliver production-ready AI solutions
• Evaluate and implement new models, techniques, and approaches to improve performance and scalability
• Communicate insights and model outputs clearly to both technical and non-technical stakeholders

Discover the Requirements

• Master’s degree or higher in Data Science, Computer Science, Engineering, Mathematics, or a related field
• Strong hands-on experience building AI/ML models in geospatial, computer vision, or remote sensing domains
• Experience working with large-scale geospatial datasets, including satellite imagery, drone data, or LIDAR
• Proficiency in tools and frameworks such as Python, PyTorch, TensorFlow, and geospatial tools (e.g. QGIS, ArcGIS)
• Experience with deep learning techniques such as CNNs, RNNs, or similar approaches for image and pattern analysis
• Experience deploying models into production environments on cloud platforms (AWS, GCP, or Azure)
• Strong understanding of data analysis, statistical modelling, and performance evaluation techniques
• Experience working in cross-functional teams to productionise AI models and deliver real-world applications