Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

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Ingeniero/a de software

GMV
Didcot
11 months ago
Applications closed

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Principal Data Scientist (H/F)

Lead Data Scientist (H/F)

Data Engineer - Banca

This role at GMV will focus on working with vast EO datasets and develop algorithms to help insight into them.

In this role you will utilise and developskills in machine learning and deep learning techniques in order to interpretsatellite data sources.

Working as an Earth Observation Engineer will allow you towork in various different projects with varying scopes and goals and thus youwill also need to stay up to date with current research both in EarthObservation and in the project at hand.

You will support ongoing and new external research and commercial projects You willbe expected to work closely with the teams effectively collating and analysingoutputs and contributing to publications  Develop applications to process large quantities of remotesensing data and extract statistics  Work with a multidisciplinary team to implement algorithmsto solve specific problems within a diverse range of projects.  Create visualizations to present the projects clearly to our client’s requirements.

WHAT DO WE NEED IN OUR TEAM?

We are looking for someone with:

 A Masters Degree in Computer Science/ Physics/ Mathematics/ Engineering orrelevant work experience. Strongbackground in Python, including a strong understanding of the core numericalprocessing libraries in Python (Numpy, Scipy).  Goodknowledge of Earth Observation data.  Goodunderstanding of version control systems such as Git/Subversion Ability towork effectively in a team

We will also value previous experience and knowledge such as:

Experiencein using satellite data for remote sensing applications and geospatial processing libraries such as GDAL/ rasterio Previousexperience in working with computer vision libraries such asOpenCV/Scikit-Image Goodunderstanding of containerization tools such as Docker, GIS software such as QGIS or ArcGIS. Understandingof machine learning techniques and relevant libraries such as Scikit-Learn withprevious professional experience being particularly valuable. Projectmanagement experience

WHAT DO WE OFFER?

Hybridworking modeland8 weeksper year ofteleworking outsideyour usualgeographical area..

Personalizedcareer plandevelopment, training andlanguage learningsupport.

Competitivecompensationwith ongoingreviews, flexible compensation anddiscount on brands.

Wellbeingprogram: Health, optical and dental free fruit and coffee,physical, mental and health training, and much more!

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