Geospatial Data Scientist Degree Apprentice

1w1 week ago

Airbus

Newcastle upon Tyne, GB · Full-time · £23,000 – £23,000

About this role

Join Airbus' Geospatial Applications team as a Degree Apprentice starting September 2026 in Newcastle upon Tyne. This 4-year program with University of Sunderland awards a BSc Data Science (Integrated Degree Apprenticeship). Prepare for a career as a Geospatial Data Scientist through combined academic study and practical work.

Expect to contribute to satellite-derived products, applications, and analytics across thematic areas like maritime, agriculture, humanitarian response, climate change monitoring, and defence. Use optical, radar, hyperspectral imagery from commercial and public providers. Develop Earth Observation algorithms and handle big data analysis.

The team provides Earth Observation expertise for environmental monitoring, defence, and civil space applications. Members draw from diverse backgrounds including Geography, Physics, Geology, Computing Science, and Machine Learning/AI. Expertise spans satellite image processing, AI-enabled data management, and tracking Earth changes over time.

Work on cutting-edge projects researching next-generation Earth Observation satellites and their sustainability applications. Deliver geoinformation products like vessel detection at sea and land-use changes along UK railways. Advance towards making the world more sustainable through innovative geospatial solutions.

Requirements

Background in Geography
Background in Physics
Background in Geology
Background in Computing Science
Background in Machine Learning or AI
Interest in satellite image processing and interpretation
Enthusiasm for Earth Observation and geospatial applications

Responsibilities

Study towards achieving a BSc in Data Science as a Degree Apprentice
Serve as an active and valued member of the Geospatial Applications team
Contribute to design and development of satellite-derived products and analytics in maritime, agriculture, humanitarian response, disaster recovery, climate change, and defence
Develop Earth Observation algorithms using optical, radar, and hyperspectral imagery
Analyze big data with AI techniques from satellite providers
Process and interpret satellite images for geoinformation products
Support research into next-generation Earth Observation satellites