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Title | Higher Data Scientist – Earth Observation Analyst |
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Description |
The Chief Scientist Directorate (CSD) provides scientific and evidence leadership services and support to help Natural England operate as an evidence-led organisation. The Data Science Services (DSS) Team, within the Analysis Team of CSD, provides access to evidence through the provision and management of data and digital systems, and through application of data science, statistics and geospatial analysis to maintain and expand our evidence base. Job description This role will lead and support delivery of a range of Earth Observation (EO) projects, and the wider development of EO skills in the team and across Natural England. They will help the team act as a centre of excellence within the organisation for developing and integrating EO. A wide breadth of EO work is undertaken, including drone data capture and processing, monitoring dynamic coastlines, wildfire mapping and habitat mapping. This work is undertaken using data from drone, manned aircraft and satellite platforms, from a range of different sensors such as Aerial Photography, Multispectral, LIDAR and RADAR.?? We are seeking a technical EO analyst for this position, with significant capability in applying EO techniques. The role will support delivery of a range of EO projects, and the wider development of EO skills in the team and across Natural England. Initially the post-holder will be involved in and help lead a variety of projects to support Natural England’s programs. These may include analysis of sand dunes and coastal habitats, monitoring geomorphological change and developing projects with other teams on the use of drones, manned aircraft and satellites, such as for agri-environment monitoring. The role may also encompass providing technical advice and support in relation to NE's Enforcement work, to include analysing and evaluating data and producing evidence to support enforcement appeals, enforcement notices and court cases. This could involve providing written witness statements and verbal evidence to help the court understand complex or technical issues. The post holder will:
Where appropriate, the post-holder will do this through identifying, understanding and following the instructions, policies, procedures and standards relevant to their work. They will manage and deliver their workload to meet agreed targets and deadlines and also consider the value for money and return on investment of activities, including when to seek income from our products and services. Communication of results of this work is then vital and the postholder will be expected to develop, present and share clear messages about their data / evidence, using language and techniques appropriate to the audience so the dataset's implications are understood and it can be used effectively. As an Earth Observation lead, the postholder will also be expected to help train, coach and mentor others in the use of Earth Observation-derived evidence. Competencies Competence 1 Professional competency Detail Instance Technical Skills and Knowledge Description Instance Highly desirable to meet most requirements: A Masters degree in a relevant discipline (i.e. Environmental Science, Geography, Geographic Information Systems (GIS) or Earth Observation/Remote Sensing) with EO/Remote Sensing modules taken, or equivalent experience. Good experience of using and analysing data from a range of EO sensors and platforms; such as drone Aerial Photography, Multispectral and Thermal data, Manned Aircraft based Aerial Photography, Multispectral and LIDAR data and Satellites like Copernicus Sentinels 1 & 2, WorldView and Planet data. Experience of using RADAR data, in particular InSAR would be beneficial. Confident in the use of GIS and EO analysis tools (such as ArcGIS Pro/ArcGIS Online/QGIS, ERDAS Imagine, eCognition, R and/or Python) to visualise, manipulate and transform Earth Observation data. Preferably with experience in using Machine Learning and/or Deep Learning with EO data. Technical experience of using EO techniques in natural environment applications such as land cover and habitat classification, land cover change detection, in terrestrial and marine environments. Confident with a range of statistical techniques for identifying relationships between data and methods for quantifying uncertainty. Competence 2 Professional competency Detail Instance Personal Effectiveness Description Instance Use clear and appropriate language, communication styles and techniques that engage your audience (Basic) Proactively communicate and present your data, evidence and analyses in ways that meet people’s needs so they can understand its implications and use it effectively to deliver positive outcomes for the environment (Practitioner)?? Share expertise and knowledge with people and networks so that you can develop together (Practitioner) Competence 3 Professional competency Detail Instance Creating Resilient Landscapes and Seas Description Instance Recognise environmental features and designations within their environmental context (This includes understanding terminology and context when working with data and information) (Basic) Use and contribute to the evidence base on environmental and landscape change to support resilient landscapes and seascapes (Practitioner) Competence 4 Professional competency Detail Instance Work Delivery Description Instance Manage and deliver your work to meet agreed targets and deadlines (Practitioner) Handle data responsibly, understand your role in good governance, and comply with delegations, policies and procedures (Practitioner) Contact information Helen Trapp Email - Helen.Trapp@NaturalEngland.org.uk Phone - 07768570148 Rebecca Jackson-Pitt Email - Rebecca.Jackson-Pitt@NaturalEngland.org.uk Phone - +442080262143 Person specification |