ideas to a range of audiences. Willingness to explore unfamiliar tools and languages as needed. Desirable but not required: Experience with geospatial libraries (e.g., GeoPandas, GDAL). Demonstrated experience in geostatistical modelling techniques. Demonstrated experience working with spatio-temporal datasets and methods (e.g., kriging, spatial autocorrelation, trajectory analysis, or related More ❯
ideas to a range of audiences. Willingness to explore unfamiliar tools and languages as needed. Desirable but not required: Experience with geospatial libraries (e.g., GeoPandas, GDAL). Demonstrated experience in geostatistical modelling techniques. Demonstrated experience working with spatio-temporal datasets and methods (e.g., kriging, spatial autocorrelation, trajectory analysis, or related More ❯
london, south east england, United Kingdom Hybrid / WFH Options
FSID - Food Systems Innovation & Delivery
ideas to a range of audiences. Willingness to explore unfamiliar tools and languages as needed. Desirable but not required: Experience with geospatial libraries (e.g., GeoPandas, GDAL). Demonstrated experience in geostatistical modelling techniques. Demonstrated experience working with spatio-temporal datasets and methods (e.g., kriging, spatial autocorrelation, trajectory analysis, or related More ❯
science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git … to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git More ❯
science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git … to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git More ❯
science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git … to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git More ❯
