Data ScientistDigitalization Engineer – Materials & Processe

Job Description:

At Airbus our goal is to pioneer sustainable aviation for a safe and united world. To achieve this the Material Processes & Test (M&P) team is accelerating the digital transformation of our engineering cycle. We aim to move from traditional empirical testing to a data-driven Materials 4.0 approach where data science high-fidelity simulations and AI converge to design our future components that are sustainable high-performing and digitally mastered from lab to flight.

We are looking for a Digitalization Engineer to lead the digital evolution of our material testing and qualification processes. You will be the bridge between the physical laboratory and the digital world using AI/ML to predict material behavior Simulation to virtually validate processes and Google Workspace infrastructure to create agile professional-grade tools for our global engineering community..

What we offer:

• A diverse and international team cross collaborating and supported by an agile and open-minded management team.

• Work at the intersection of physical engineering and advanced analytics in a R&D environment.

• A dynamic and fast-paced business environment where your experience expertise and knowledge directly impacts day-to-day business operations.

• The opportunity to grow continuously in your field of expertise and develop yourself supported by professional training and a network of enthusiastic and knowledgeable colleague

Your Main Responsibilities

• Define and implement the data strategy for the M&P team transitioning manual material characterization processes into automated scalable digital workflows.

• Drive future-ready initiatives by developing ML models (Predictive Analytics Neural Networks etc.) to standardize and harmonize the products and standards .

• Lead simulation activities (e.g. Finite Element Analysis or multi-scale modeling) and integrate these physical models with data-driven AI approaches to create robust Digital Twins of materials and processes.

• Act as the departments statistical lead using Advanced DoE to optimize complex test matrices ensuring maximum statistical confidence with minimum resource expenditure.

• End-to-end management of the M&P digital toolkit. You will lead the development deployment and maintenance of custom software solutions used by M&P engineers including building apps via AppSheet for field/lab data collection and using Google Apps Script to integrate disparate data sources into a unified cloud environment.

• Serve as the technical lead in international R&D projects collaborating with universities material suppliers and IT departments to align digital tools with aerospace standards

Who We Are Looking For

• Masters degree or PhD in Material/Mechanical/Aerospace Engineering or equivalent

• 5-8 years of professional experience in digitalization material informatics or engineering data science.

• Expert in Design of Experiments (DoE) and statistical software (e.g. JMP Minitab or Python-based libraries).

• Proven track record in developing and deploying Machine Learning models in a physical engineering or manufacturing context.

• Proficiency in Python (SciPy Scikit-learn TensorFlow/PyTorch) and JavaScript/Apps Script.

• Experience with material/process simulation tools (e.g. LAMMPS MedeA Abaqus Ansys or similar)

• Capability in building enterprise-level solutions with Google AppSheet and managing Google Cloud/Workspace integrations.

• You demonstrate networking skills to collaborate with universities research centers and external partners.

• Strong communication skills to translate Data Science into Material Science for diverse stakeholders..

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

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