The role serves as a critical bridge between raw engineering data and production-ready AI products within Airbus's Innovation Centre
Job Summary
The role serves as a critical bridge between raw engineering data and production-ready AI products within Airbus's Innovation Centre.
Candidates will apply advanced analytics and machine learning to solve complex aerospace challenges ranging from predictive maintenance to autonomous systems.
The position requires ensuring 'aircraft-grade' reliability in reporting while translating complex data insights into actionable recommendations for non-technical stakeholders.
Matching Summary
The role serves as a critical bridge between raw engineering data and production-ready AI products within Airbus's Innovation Centre.
Skills & Requirements
Must-have
SQL and relational database querying
Python or R for statistical modeling
Tableau or Power BI dashboard creation
Hypothesis testing and regression analysis
Data cleaning and preparation techniques
Nice-to-have
Generative AI and prompt engineering skills
Experience with aviation-specific datasets
Knowledge of agentic frameworks like Google ADK
Familiarity with terminal-based AI tools
Understanding of eco-design principles
Key Requirements
Bachelor's degree in quantitative technical field
3+ years of professional experience in data-centric roles
Expert proficiency in SQL and Python/R
Solid understanding of statistical concepts and probability