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Geospatial Analyst (26999)

Cambridge / Hybrid
£Competitive + benefits

QGIS and data science skills needed for this analytical role

A Geospatial Analyst is sought by a Cambridge company developing intricate simulations and models in order to help businesses find ways to assess their impact on the environment.

Playing a valued role in their modelling team, you would be responsible for supplying useful observations gleaned from an ever-growing database of geospatial information, which will be used to help quantify environmental risks for world leading companies. Your ability to source, organise and interpret datasets from a variety of sources will be particularly important, as will your ability to present your findings in an effective visual manner.

It is a fast-paced, and supportive working environment, offering hybrid working, competitive salaries and opportunities for advancement.

To join the team, you will need:

  • At least a bachelor’s degree (2:1 or above) in Geography, Climate Science, Natural Sciences, Mathematics, Economics or similar subject from a top university, together with an interest in climate science and risk analysis.
  • Skills in geospatial software packages such as, QGIS (ideal) or other similar packages
  • Demonstrable skills in Python (preferred), or similar languages.
  • Experience of gathering and analysing relevant data from multiple sources, along with the ability to effectively communicate your findings to non-specialists and experts in your field.
  • Full rights to work in the UK without time limits or sponsorship.

Your application would be enhanced with some of the following:

  • Good knowledge of topics such as physical risk science, economics and finance.
  • Specific expertise in energy modelling, the circular economy or issues affecting agriculture.

If you think you have the right skills and you would like the opportunity to build a career in geospatial analysis and climate science, send us your CV today.

Keywords: Geospatial Analysis, QGIS, Geography, Environmental Science, Climate Science, Risk Modelling, Cambridge, Mathematics, Economics, Python, Statistics, Natural Sciences, Analysis

Send your CV to ECM Selection; whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at http://ecmselection.co.uk/tell-a-friend.

Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.