You will join a leading global R&D environment where advanced AI-driven applications support researchers in their daily work—from data analysis and statistical modelling to predictive insights and dashboarding.

These applications, built mainly with Shiny (R) and Streamlit (Python), are part of a growing analytics ecosystem running on a dedicated internal platform. The mission combines maintenance of existing AI/statistical tools and development of new data-driven applications based on real user needs.

You will act as a bridge between business users (researchers) and technical teams, ensuring applications remain reliable, scalable, and relevant.



What you will do

• Investigate and fix issues in AI algorithms (bugs, performance, data pipeline failures)
• Maintain and improve existing Shiny (...