The intern will have tasks such as:
- Analyse and correlate technical data from aerospace systems and sensors.
- Contribute to the implementation of secure data pipelines (collection, normalization, storage, access).
- Develop tools to transform raw data into dashboards, synthetic reports, and key performance indicators.
- Support the identification and monitoring of critical operational events, thresholds, and anomalies.
- Participate in troubleshooting activities: anomaly detection, root cause analysis, and corrective action tracking.
- Contribute to the development of predictive models based on historical correlations to anticipate technical deviations.
- Produce synthesis reports for various departments (engineering, testing, quality, security) while respecting strict confidentiality rules.
- Contribute to the drafting of technical documentation and best practices for secure aerospace data handling and analysis.
During the internship, the student will gain practical experience in:
- Advanced technical data analysis and visualization using Python, SQL, and data visualization tools.
- Correlation and processing of complex multi-source datasets.
- Cybersecurity fundamentals and sensitive data protection applied to aerospace environments.
- Troubleshooting methods based on data exploitation.
- Understanding the lifecycle of aerospace systems and their reliability challenges. Implementing secure AI/data projects in a professional environment.
- Cross-functional collaboration across engineering, testing, quality, and security teams.