Data Science Engineer (f/m/d)

• Leverage natural language processing (NLP) to extract meaning from diverse datasets.
• Develop, fine-tune, and deploy machine learning models using Torch and TensorFlow.
• Transform cutting-edge algorithms into production-ready solutions.
• Monitor, enhance, and continuously improve model performance and accuracy.

This role helps companies gain real-time visibility into supply chain risks, enabling proactive crisis prevention and fostering more resilient, sustainable global supply chains.

• 3+ years of experience in developing, deploying and scaling machine learning models to production.
• Experience with NLP or other machine learning technologies, and tools like Torch or TensorFlow.
• Good experience in working with Python and Scala.
• Knowledge of SQL and relational databases.

Minimum EUR 45,738 gross annually based on IT Collective Agreement. Flexible hours and hybrid working. Birthday off, MyClubs partnership, mental health support, regular health check-ups, company-wide training, fun team events, device of choice, work from anywhere up to 8 weeks a year.

Prewave is an AI-native company that provides real-time supply chain risk monitoring to companies like BMW Group, Hilti, and Lufthansa, helping them detect supplier insolvencies, cyber attacks, factory fires, and floods before they become crises.