6 of 6 Spatial Analysis Jobs in London

potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing ...

wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high-quality visualisations … strategy to become a data-driven, technology-led and AI-infused enterprise. KEY RESPONSIBILITIES Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight ...

Proven experience working with geospatial data, including handling spatial formats (e.g., vector, raster, GeoJSON, shapefiles), coordinate reference systems, and spatial analysis workflows Strong ability to interpret and apply geographical context in data processing pipelines, with demonstrated capability to aggregate, upscale, or translate local/regional ...

static, and animated formats. Validate and query complex data: Independently analyze, manipulate, and validate multi-layered datasets using SQL and Python, standing behind published analysis with complete accuracy. Prototype cutting-edge interactive tools: Build modern interactive data experiences using contemporary web technologies (JavaScript/TypeScript) and AI-assisted engineering … ability to independently query, interrogate, and validate complex datasets (using SQL, Python, or similar tools) and defend published insights confidently. Strong spatial analysis skills and proficiency with GIS technologies to analyse location-based data and spatial relationships. Technical proficiency with modern web technologies (JavaScript/ ...

commercial questions into analytical problems and ensuring our models deliver meaningful business value. Rigorously validate models through out-of-time testing, leakage checks, sensitivity analysis and clear measures of uncertainty, ensuring every input genuinely reflects the information available at the point a decision is made. Develop approaches for locations … evidence to trust a result. Work with Engineering and Data colleagues to turn model outputs into reusable, scalable data assets rather than one-off analysis or tables . Partner with MLOps colleagues to deploy, monitor and retrain models, with clear ownership, versioning in MLflow and documented handover points. Turn ...

survey methods including design and deployment of vegetation, bird, pollinator or soil sampling. Experience with data science techniques that integrate remote sensing and spatial analysis. Experience discovering and repurposing novel data sources that may contain ecological signal; this could include anything and we’re excited to hear your ...