13 of 13 Spatial Analysis Jobs in England

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 ...

repeatable workflows, provide technical assurance and peer review, mentor colleagues, support bids and client engagement, and drive innovation in marine spatial analysis, data services, dashboards, web applications and digital products. The role also includes line management responsibility. You are a highly organised, proactive, collaborative and self‐motivated … geospatial solutions in a consultancy or commercial environment. Strong capability in Python, ArcPy, ArcGIS API for Python and ModelBuilder, developing automated, repeatable workflows for analysis, data management, QA/QC and reporting. Proven experience designing and supporting web GIS applications and services, including Experience Apps, Dashboards, StoryMaps, Survey123 ...

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 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/ ...

transport, dispersion modelling or environmental data analysis. Excellent analytical skills with the ability to interpret complex real‐world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non‐technical audiences. Ability to work collaboratively across software, engineering … biogas or similar industrial environments. Knowledge of emissions reporting frameworks such as OGMP 2.0 or measurement‐informed inventories. Experience with GIS, spatial analysis, atmospheric modelling or computational fluid dynamics (CFD). Exposure to lidar, spectroscopy, remote sensing or optical measurement technologies. Understanding of scientific software development, version ...

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 ...

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 ...