Spatial Data Scientist

Job summary

DESCRIPTION Oxf*** is a global leader in city and regional economic analysis, combining advanced data science with deep economic expertise. Our Cities Team forecasts thousands of locations worldwide, integrating economic models with geospatial analytics to drive decision-making across real estate, financial services, government, and beyond.

Benefits

Qualifications

• above and include a brief example of a spatial analysis or data science project you have completed — academic, professional, or personal.
• We welcome applications from candidates who may not tick every box but can demonstrate strong technical ability and genuine enthusiasm for the intersection of economics and geospatial data.

Responsibilities

• Design and build spatial economic models to analyse urban economic performance, spatial disparities, and geographic drivers of economic activity
• Contribute to the development of city, regional, and sub-national forecasting methodologies.
• Build and maintain Python-based data pipelines to process, integrate, and analyse large geospatial datasets.
• Work with a wide range of data sources, such as Census data, satellite-derived indicators, global buildings and transport datasets, administrative boundaries, and Oxf*** forecasts
• Apply machine learning techniques for classification and regression tasks on spatial and economic data
• Conduct advanced spatial analyses, like geographically weighted regression, spatial autocorrelation analysis, and spatial autoregressive modelling
• Support the development of scalable location intelligence products, digital

Skills

Degrees

Industry

Company size