Salary: £45,000 – 50,000 per year
Requirements
- Experience with Jira, Palantir Foundry (Skywise), Jupyter Extended Platform, and GitHub
- Strong data analytics and data visualisation capabilities
- Excellent stakeholder management and communication skills
- Knowledge of Skywise Predictive Maintenance (SPM) and LG systems
- Understanding of, or experience with, Fleet Diagnostic and Predictive Maintenance processes (SU.CP.05)
- Previous experience within Predictive Maintenance and ZAOG environments
- Highly organised with a delivery-focused mindset and the ability to work independently
- Exposure to AI and Machine Learning technologies
Responsibilities
- Contribute to the development of fleet diagnostic and predictive maintenance models
- Support technical investigations using aircraft fleet data analysis
- Carry out specific data analyses for the Design Office, from gathering requirements from the requestor through to feasibility assessment and study delivery
- Use in-service data to improve understanding of in-service operations
- Use in-service data to improve system design
- Support business Data Management projects by applying analytics skills
Technologies
- AI
- GitHub
- JIRA
- Jupyter
- Machine Learning
- Marketing
Location: Filton. Contract: initial role until the end of the year, with onsite attendance three days per week.
#J-18808-Ljbffr…
