Chalgrove, England, United Kingdom Hybrid / WFH Options
Ecology by Design
and set-up of an appropriate CAD package and production of company protocol for using CAD · Improvement and maintenance of QGIS mapping templates · Spatial analyses, particularly biodiversity impact assessments to measure differences between baseline habitat areas and proposed habitat areas · Conversion to and from GIS maps and CAD more »
chalgrove, south east england, United Kingdom Hybrid / WFH Options
Ecology by Design
and set-up of an appropriate CAD package and production of company protocol for using CAD · Improvement and maintenance of QGIS mapping templates · Spatial analyses, particularly biodiversity impact assessments to measure differences between baseline habitat areas and proposed habitat areas · Conversion to and from GIS maps and CAD more »
Geospatial Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. … sciences, Geographical information systems (GIS), Remote Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatialstatistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in more »
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
LV= General Insurance
Geospatial Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. … sciences, Geographical information systems (GIS), Remote Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatialstatistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in more »
Bournemouth, Dorset, South West, United Kingdom Hybrid / WFH Options
LV= General Insurance
Geospatial Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. … sciences, Geographical information systems (GIS), Remote Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatialstatistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in more »
