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• Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information
• Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks
• Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit
• Validating a customer-facing GenAI chatbot for an American bank
• Developing probability of default and loss models in Python for European and UK-based banks
• Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information
• Developing a next best action model to reduce customer churn for a global telecom company

• Write, test, and maintain high-quality code in Python.
• Assist in building data pipelines and create new benchmarking graphs.
• Cooperate with data scientists and data engineers to understand their current needs.  

As an intern you will learn how to unify and transform fragmented E-Aircraft test data into actionable engineering knowledge. You will gain experience in designing and implementing a digital thread, moving high-volume test yields from on-premise storage to a scalable cloud data lake (Skywise Cloud). You will learn the entire analytics lifecycle.

Your tasks and responsibilities

• Program data post-processing routines using cloud-native tools to harmonize raw test data.
• Design and create automated data analytics pipelines within the cloud solution, managing flow from ingestion to prepared datasets.
• Execute advanced data analysis and exploration (interactive or code-based).
• Create final visualizations and dashboards to share key metrics.

As a trainee in this program, you will participate in structured rotations lasting six months each across three departments. The program runs from April 2026 to September 2027, with rotations in Marketing, Supply Chain, and Commercial - Key Account Management. You will actively contribute to high-value projects that are aligned with your academic background and career aspirations. You will apply your recent academic knowledge to real-world business challenges and collaborate with cross-functional teams. Throughout the program, you will receive structured guidance from your assigned supervisor, engage in regular feedback sessions, and take part in performance evaluations and development planning. At the end of the program, you will present your learnings and achievements to key stakeholders.