4 of 4 Geospatial Data Jobs in the City of London

GIS Manager

Location
City Of London, England, United Kingdom
will be an experienced GIS professional (5+ years) with a proven track record in leading a GIS team and delivering high-quality cartographic and geospatial data products. They will bring expert knowledge of ESRI technologies - particularly ArcGIS Pro - and the ability to leverage cartographic design, geospatial analysis … maintaining consistently high output standards. The role requires hands-on capability in GIS development, including building and maintaining Python scripts, automating workflows, and managing geospatial databases. Candidates should also have experience developing and updating ESRI Web Apps for both internal teams and external clients. The ability to engage with ...

Senior Data Engineer

Location
City Of London, England, United Kingdom
Title Senior Data Engineer Job Description Summary Senior Data Engineer | Databricks | Agentic AI | EMEA & APAC We are the team leading the data transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native … capabilities at genuine enterprise scale, across a breadth of domains, and shaping how we win in the age of AI. Job Description Role: Senior Data Engineer Senior Data Engineer | Databricks | Agentic AI | EMEA & APAC We are the team leading the data transformation of our EMEA and APAC ...

Inland Flood Modeling & AI Analyst

Location
City Of London, England, United Kingdom
deploying advanced models, incorporating ML and AI tools, and collaborating with scientists and engineers to deliver robust, reproducible workflows. You will work with geospatial data, HPC environments, and diverse datasets to produce insights for clients and stakeholders in a cutting-edge, responsible AI environment. #J-18808-Ljbffr ...

Analytics & Modeling Analyst (Inland Flood)

Location
City Of London, England, United Kingdom
champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative discipline Understanding of machine learning fundamentals including model training and validation, overfitting, and model evaluation Experience with … visualization techniques Strong communication and collaboration skills with the ability to explain technical concepts to multidisciplinary stakeholders Experience working with high-performance computing environments, geographic information systems, structured query language, or data assimilation techniques is desired Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning ...