- Company Name
- Buro Happold
- Job Title
- Senior Geospatial Data & Analytics Consultant
- Job Description
-
Job title: Senior Geospatial Data & Analytics Consultant
Role Summary: 6‑month fixed‑term contract (possible extension or permanent) as a senior data scientist within a Geospatial Science and Digital Twins team. Lead advanced analytics on large‑scale masterplanning projects, create automated 3D virtual city and digital twin solutions, and deliver insights from diverse geospatial datasets to clients worldwide.
Expactations: Deliver high‑quality spatial analytics, maintain and evolve GIS standards, manage bids and proposals, train multidisciplinary teams, and consistently meet project deadlines and quality benchmarks.
Key Responsibilities:
* Conduct R&D on emerging geospatial technologies and develop automated solutions (3D virtual cities, digital twins, AI‑driven web maps).
* Own end‑to‑end project management of complex masterplanning projects, including spatial/non‑spatial data governance.
* Define, implement, and promote GIS data quality, accuracy, and mapping standards across projects.
* Communicate with clients and internal stakeholders to gather requirements, draft scopes, estimate costs, and create project plans.
* Develop and maintain spatial databases (PostgreSQL/PostGIS, MS SQL Spatial, MongoDB) and execute ETL pipelines from CAD/BIM to GIS warehouses.
* Build and configure web‑mapping and gaming‑engine visualisations, integrating AI/ML modules.
* Provide QGIS/ArcGIS training at local and global levels, develop new GIS templates, symbology, and styling.
* Perform computer‑vision model training, calibration, and validation for feature extraction (OpenCV, FME).
* Apply NLP techniques for clustering and pattern recognition in textual data.
* Collaborate with cloud engineering teams to deploy solutions on Azure, AWS, or Oracle Cloud, ensuring cybersecurity best practices.
Required Skills:
* Advanced geospatial data analytics and insights; statistical pattern discovery from big data.
* Proficiency in Python, R, MATLAB, SQL, C/C++; experience with Pandas, NumPy, Matplotlib, SciPy, scikit‑learn, TensorFlow, Keras, GDAL, GRASS, Shapely, GeoPandas.
* GIS platform expertise: ArcGIS Desktop/Pro, ArcPy, QGIS, QGIS Server, Jupyter Notebooks, QGIS Python API.
* Spatial database design and administration (PostgreSQL/PostGIS, MS SQL Spatial, MongoDB).
* SQL scripting and ETL pipeline design (FME, Talend, custom scripts).
* Cloud computing (Azure, AWS, Oracle Cloud) for data analytics deployment and infrastructure configuration.
* 3‑D data handling: LiDAR, point cloud processing, semantic 3‑D modelling, BIM to GIS conversion.
* Computer vision (OpenCV, FME) and AI/ML model training, validation, and deployment.
* Natural Language Processing for text clustering/feature extraction.
* Strong problem‑solving, independent initiative, and effective communication with technical and non‑technical audiences.
Required Education & Certifications:
* Bachelor’s degree in Data Science, GIS, Computer Science, Geography, or related technical field.
* Master’s degree or PhD preferred.
* Minimum of 5 years relevant professional experience in geospatial analytics.
* Certifications: GIS Professional (GISP), ArcGIS Pro/Server, or equivalent cloud data science certifications are an advantage.