13 of 13 Spatial Analysis Jobs in the UK

remote operations, enterprise equipment, training, and aerial services, supporting clients across diverse industries and geographies. Role Purpose The GIS Specialist will support the development, analysis and management of geospatial datasets and contribute to the delivery of industry-leading geospatial training programmes. The ideal candidate will possess strong … survey methods. Maintain data quality assurance and spatial accuracy standards. Support consultancy projects involving environmental monitoring, infrastructure management and asset inspections. GIS Analysis Perform spatial analysis and modelling. Create thematic maps and digital cartography products. Manage vector, raster and LiDAR datasets. Support land ...

defence, nuclear and infrastructure sectors. As part of our Geospatial team within the Asset Management business unit, you'll help deliver high-quality spatial solutions that support critical engineering and environmental challenges while developing your career in a collaborative, forward-thinking environment. Purpose & Scope of the Role … technology is used across the business, supporting project teams, enhancing efficiencies, and delivering valuable outcomes for clients. Core Capabilities GIS & Spatial Analysis Produce high-quality mapping, spatial analysis and data visualisations using the ESRI platform. Prepare, manage and maintain spatial datasets ...

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 ...

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 ...

proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic & Gen AI has to offer to unlock business value. ...

Senior GIS and Spatial Intelligence Officer Insights Team – GIS Unit Salary Grade 7 £37,563 - £40,444 per annum Full Time, 37 hours per week Are you an experienced GIS professional looking to lead and develop a modern corporate GIS function? Bassetlaw District Council is seeking a Senior … related discipline. Significant experience managing enterprise GIS systems and spatial data environments. Strong expertise in ESRI ArcGIS platforms, spatial analysis and web mapping. Experience delivering spatial intelligence and evidence-based insights to support decision-making. Excellent communication, stakeholder engagement and technical leadership skills. ...

Geographic Information Systems (GIS) and open-source geospatial tools, helping clients unlock the value of location data through innovative mapping and spatial analysis solutions. Role Responsibilities This is a varied role that calls for adaptability, ambition, and a proactive approach to working in a fast-paced, agile ...

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/ ...

Design, implement, and maintain robust C++ software for geospatial and sonar data processing. Develop high-performance workflows for spatial analysis, mapping, and data fusion. Optimise code for speed, scalability, and memory efficiency across Windows and Linux platforms. Collaborate with data scientists and engineers to integrate C++ modules ...

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 ...

Digital Media team in the UK. You will contribute to renewable energy, transmission, and water projects through high-quality digital mapping and spatial analysis. You will translate technical information for non-GIS audiences and ensure data integrity across diverse sources. The role involves cross-functional collaboration, delivering ...

Item response theory and psychometrics: TAM, sirt, mirt, mirtCAT, eRm, ltm, lordif, psych Structural equation and latent variable modelling: lavaan, semTools, OpenMx Topological data analysis: TDAstats, TDApplied Differential equations and dynamical systems: deSolve, pomp, FME State-space and time-series modelling: KFAS, MARSS, forecast, vars, urca, rugarch, rmgarch, tseries … timeSeries Survival and event-history analysis: survival, flexsurv, timereg, mets Mixed, additive, and advanced regression models: lme4, nlme, mgcv, glmmTMB, TMB, quantreg, scam Spatial statistics and geostatistics: spatstat, spatstat.geom, spatstat.linnet, spdep, gstat, geoR, spBayes, sf, stars, terra, lwgeom Statistical learning and specialized modelling: mclust, kernlab, earth, pROC ...