Senior Data Scientist
Pubblicato il 16-09-2026 - Ayesa Digital in Terni
At Ayesa Digital, we grow with you.
Every professional in our company is essential. Thanks to their talent, we continue to expand: today, we are a global team of more than 11,000 people working toward a shared mission.
Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These strategic technological initiatives stand out for their international scope and strong commitment to socially oriented results.
We are looking for a highly experienced Senior Data Scientist to support the development and evolution of advanced environmental and hydrological modelling solutions within a leading international research environment.
The successful candidate will contribute to the continuous development of LISFLOOD , the European Commission's open-source hydrological model, with a strong focus on scientific computing, machine learning integration, high-performance computing, and large-scale environmental data processing.
This role offers the opportunity to collaborate with international research teams and contribute to innovative solutions supporting flood forecasting, drought monitoring, climate change impact assessment, and disaster risk management.
Key Responsibilities
Further develop, maintain and deploy the open-source hydrological model LISFLOOD and its associated data processing tools.
Improve model input/output processes, scalability and performance across High Performance Computing (HPC) infrastructures.
Design and implement machine learning solutions to enhance hydrological modelling capabilities.
Develop machine learning-based surrogates and neural network approaches for parameter estimation, model regionalization and calibration.
Support calibration activities of hydrological models at European and global scale.
Conduct software testing activities, improve unit testing frameworks and contribute to code quality initiatives.
Maintain and manage scientific data reposit