Network Data Scientist
Pubblicato il 15-10-2026 - INTECS in Italia
Intecs Engineering Spa is an Italian company specialized in the design and development of applications, tools, software, hardware components and products for the Aerospace, Defence, Transport, Railway, Telecommunications and Smart Systems markets in collaboration with the main Industries, Organizations, Universities and European and Italian Research Laboratories.
To best support our customers in their transition to data-driven decision-making, Intecs Engineering is looking to expand its Artificial Intelligence Laboratory with a Data Scientist to be inserted in its offices, either Pisa or Napoli.
This role is open to candidates that are willing to relocate in Pisa (Italy).
The candidate will have the possibility to face and solve challenging problems in different areas including, for example: (i) Detection and Tracking of targets in war scenarios based on optical and infrared on-ground cameras, as well as data fusion of detection metadata with other data sources (e.g. radar) (ii)
development of a solution for Predictive Maintenance and Anomaly Detection of underwater infrastructures based on a network of underwater sensors, (iii) Classification of underwater objects and long-term temporal monitoring and Change Detection of underwater infrastructure based on LiDAR data, (iv) Generative AI for improvement of internal System Engineering processes.
As a Data Scientist, we expect that you will be able to tackle business challenges with autonomy and scientific rigor and contribute to a culture of experimentation and continuous improvement within the Laboratory. You will be involved in all the phases of a Data Science project lifecycle including: collection of requirements, State of the Art's analysis, explorative data analysis, design, development and training/validation/testing of the AI-based solution on powerful servers and supporting the Machine Learning engineers in the deployment to the operative scenario. Design, implement, validate and test cutting-edge AI-based so