Working with technical colleagues in the wider Research team, specifically those in Analytics (Data Science, Data Engineering, Geospatial and Innovation) to perform econometric analysis to discover the impact of ESG on property market dynamics. Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases. Ability to use spatial/GIS analysis to find locational insights. Ability to see the bigger picture through the interrogation of relevant data to unearth trends. Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly. Experience
Relevant university degree with strong statistical elements (MSc and PhD levels welcomed). 1-2 years of relevant experience. Problem-solving skills. Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail. Strong background in statistics or econometrics. Spatial data statistics (e.g. Geopandas/ Open Street Map). Knowledge of python or R desirable. Personal skills suited to working within a professional yet friendly and dynamic team environment. Self-motivated with the ability to work independently on projects. An interest in real estate and/or ESG is an advantage. If this sounds like you then please apply!
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