Req ID:507533
At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.
Your future rôle :
Take on a new challenge and leverage your expertise in data analysis and digitalization. As a Methods & Tools Quality Engineer (VIE), you will play a key role in driving continuous improvement and process optimization within the Quality department.
Your main responsibilities will include:
1. Quality Defect Data Automation: Develop and maintain automated data pipelines to ensure efficient data flow (using Power Automate, API …)
2. Line Quality Animation: Create interactive dashboards and insightful reports using Power BI and/or Qlik Sense to support decision-making and reroute quality checks where it is needed the most.
3. Cluster Defects and Predict Incoming issues: Apply Machine Learning algorithms to clusterize reported train defects. Propose innovative ideas for implementing predictive models to anticipate future defects and improve reliability.
4. Process Optimization: Analyse workflows and propose solutions to enhance efficiency and reduce variability.
5. Process Automation: Implement digital tools (user PowerApps for instance) and automation strategies to streamline quality processes and reduce manual interventions.
Qualifications and requirements :
6. Education: Master’s degree (or equivalent) in Applied Mathematics, Data, Digital Systems, Computer Engineering, or a related field.
7. Technical Skills: Programming & Data Science: Solid knowledge of Python (Pandas, Scikit-learn, TensorFlow) for data analysis and machine learning. Data Visualization: Familiarity with Power BI and/or Qlik Sense for dashboard creation. Automation Tools: Basic knowledge of Power Automate and workflow automation. Data Handling: SQL and data pipeline fundamentals.
8. Soft Skills: Analytical mindset and problem-solving ability. Autonomy, adaptability, and willingness to learn. Lean & Six-Sigma is a plus Good communication skills in English, French and German is a plus
9. Experience: Previous internships or academic projects in data analysis, machine learning, or process automation are appreciated but not mandatory (0–5 years experience).
You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!
Important to note
As a global business, we’re an equal-opportunity employer that celebrates diversity across the 70+ countries we operate in. We’re committed to creating an inclusive workplace for everyone.