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Environmental Data Scientist | Energy
ShrewsburySource: WhatJobs
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Overview
In this role you will help manage and improve environmental data workflows across contaminated land, hydrogeology and monitoring projects. You’ll coordinate labs, ensure accurate electronic data deliverables, and enable data access for assessment, modelling and reporting. You will train teams, standardise workflows and drive improvements to data systems. Expect a breadth of projects and opportunities to shape data capability across the team. Join a collaborative environment that values robust data and practical, data-driven outcomes.
Pay / Benefits
hybrid/flexible working
competitive salary
bonus schemes
enhanced pension plan
annual leave with buy/sell option
private medical insurance
Responsibilities
Coordinate laboratory testing schedules and electronic data deliverables
Support accurate data import into EQuIS and work with AGS data
Perform QA/QC checks on data and export in formats for assessment, modelling and visualisation
Deliver training and support users of environmental data systems
Identify process improvements and develop standardised, efficient data workflows
Contribute to cross-project data management improvements and best practices
Key requirements
Degree in Environmental Science, Geoscience, Data Science, Geography, Hydrogeology, Geology, Environmental Engineering, Earth Sciences, or related discipline
Experience with EQuIS or similar environmental data management systems
Experience with laboratory electronic data deliverables and AGS data
SQL, VBA or Visual Studio for data checking, automation or reporting
ArcGIS or other GIS tools for data visualization
Experience developing dashboards, automated checks, scripts or standardised workflows
Bonus: Leapfrog or other geological modelling tools
Background in contaminated land, hydrogeology, ground investigation or groundwater quality assessment
Clear communication with technical and non-technical colleagues
Ability to manage multiple workstreams and work in a careful, organised manner
Clear communication with technical and non-technical colleagues
Multitasking and managing multiple workstreams
Careful, organised and detail-oriented approach
EQuIS or similar environmental data management systems
Laboratory electronic data deliverables and AGS data
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