Senior Geospatial Data Scientist

Are you a Geospatial Data Scientist looking to grow your expertise and make a difference on projects across the world? You will join us as a Geospatial Data Scientist – a key member of our Geospatial Science and Digital Twins team, responsible for applying advanced analytical techniques to derive insights from our big data. This is a permanent role, but we are also open to candidates who wish to work on a contract basis (inside IR35).

Key Duties

• Undertake research and development into geospatial services and application of new technologies.
• Develop automated solutions, including 3D virtual cities, digital twins, new data products, data science and insights services from a vast array of datasets.
• Manage and juggle complex master‑planning projects, project‑managing spatial and non‑spatial data governance procedures and processes.
• Set GIS standards in data quality, accuracy and mapping, and develop and disseminate standard GIS templates that feed into map‑making capabilities.
• Provide training on a local and global level in QGIS and ArcGIS, while developing new and improved GIS templates, styles and symbology.
• Manage bids for Requests for Work (RfW), including writing and developing new scopes, estimating fee costs, developing plans and covering resource for the project timeline.
• Assist in developing web‑mapping solutions using AI and Machine Learning modules, embedding geospatial datasets into gaming engines to demonstrate the capabilities of GIS solutions to clients.

Your skills and experience

• Experience in geospatial data analytics and insights concepts, able to derive insights and patterns from big data using statistical methods and processes.
• Proficiency in data‑science languages such as Python, R, MATLAB, SQL and C/C++, and experience in spatial data processing and management, with a strong emphasis on SQL scripting.
• Experience with spatial data management tools and platforms such as ArcGIS, ArcPy, QGIS, Shapely, GeoPandas, NumPy, Pandas, Matplotlib, GDAL, GRASS, scikit‑learn, TensorFlow for geospatial analysis.
• Demonstrable experience setting up and configuring spatial databases such as PostgreSQL/PostGIS, MS SQL Spatial and other big‑data platforms like MongoDB.
• Understanding of vector databases for AI module implementation and techniques.
• Experience with geospatial data ETL to a spatial data warehouse, including CAD/BIM to GIS data processing and use of ETL tools to automate data processes.
• Knowledge of cloud computing technologies (Microsoft Azure, Amazon Web Services, Oracle Cloud) for development of data analytics and insights solutions, along with cybersecurity best practices and protocols.
• Familiarity with semantic 3D modelling, LIDAR, point clouds and other 3D datasets, and ability to train, calibrate and validate computer‑vision algorithms for feature extraction using OpenCV and FME.
• Ability to communicate geospatial data analytics methodologies and insights to both technical and non‑technical audiences; strong, complex problem‑solving skills and self‑starter.
• Experience applying Natural Language Processing (NLP) for cluster and pattern recognition in textual information.

Qualifications

• Graduate from a relevant technical degree in Data Science, GIS or Computer Science.
• A master’s degree or PhD is an added advantage, with 7 years or more experience.

We welcome diversity. Buro Happold values flexibility in working patterns and strives to create an inclusive environment. We encourage applications from those who feel underrepresented in the industry and are committed to a culture where individuals can thrive without masking their identity.