Work on projects which typically involve large and complex data sets
Support all aspects of the GE Aerospace business from asset in-service deployment, fleet monitoring and management to OEM, MRO, supply chain and financial operations
Rapidly develop, test and deploy Data Science solutions which solve real-world problems and deliver significant value to the business
Develop custom in-house analytics tools to meet the various internal business needs
Combine data science with application / domain knowledge
Make extensive use of AI and ML techniques including LLMs, Computer Vision; Neural Networks and Advanced Statistical methods

Experience of Python is essential
In-role experience of data science
Demonstrable understanding of the data lifecycle
Analytical scripting skills essential, ideally Python
Knowledge and experience of applying ML / AI / Advanced Statistics to solve real-world problems
Experience using Version Control, ideally Github
Experience using an analytic development platform such as AWS or Databric
A keen interest working in Aerospace / Aviation industry
Ability to leverage curiosity and creativity to drive business impact
Capable of working within a team or independently
Able to complete specific tasks to required timelines
Good communicator: Comfortable communicating complex technical information to a range of stakeholders – peers, experts and non-experts, customers.

Senior Data Scientist

Key skills