Intecs Engineering Spa
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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.
Main Responsibilities
Design, implement, validate and test cutting‑edge AI‑based solutions
Write software that ensures high accuracy and speed performances, maintainability, scalability, reusability and reliability upon deployment
Read scientific research papers, re‑implement them and customize solutions according to company needs and customer requirements
Extract semantic patterns and useful insights from data
Train AI‑based models, collect results on validation datasets and iterate for model optimization
Prepare presentations and participate in technical meetings, with possibility of short travels in Italy and/or abroad
Draft technical documentations
Contribute to the drafting of technical proposals for national and international research initiatives
Must Have
Good knowledge of Python
Knowledge of the main packages for Machine Learning: numpy, pandas, matplotlib, sklearn
Knowledge of the Tensorflow framework or, in alternative, PyTorch
Knowledge of Jupyter notebook and one IDE (preferred Visual Studio Code, in alternative PyCharm)
Experience with Git versioning control system (preferred Gitlab)
Good background in Statistics and Machine Learning (classification, regression and clustering)
Hands‑on experience in Convolutional Neural Networks for classification and detection tasks, as well as in tracking algorithms
Hands‑on experience with Docker container and conda environments
Master Degree in a STEM field (preferred Computer Science, Computer Engineering, Physics or Mathematics) with a degree grade of at least 103/110
Ability to present the results of the work to both technical and non‑technical audiences
Good knowledge of the English language (at least B2), both written and oral
Willingness to learn and ability to adapt to changing and challenging scenarios
Ability to work independently and in a team
Willingness to work in the Defence field
Preferred
At least 2 years work experience in an industrial setting as a Data Scientist
Hands‑on experience in Predictive Maintenance and Anomaly Detection algorithms
Hands‑on experience in building applications with Large Language Models (LLMs), including prompt engineering best practices and advanced prompting techniques.
Practical experience developing and deploying Retrieval‑Augmented Generation (RAG) systems, including vector databases, embedding pipelines, and retrieval optimization. xrtlpzc
Experience working with Agent‑based architectures (preferred LangChain framework), including tool integration and multi‑step reasoning workflows.
Hands‑on experience in Experimental Tracking with MLflow
Ability to propose original solutions to improve our products and services
What we offer
Work with a team of professionals with different background and experience
Face technical problems in different technology domains from Defence and Space to Railway and Automotive
Take on more responsibility and grow professionally
Present projects to workshops
Hybrid work (up to 60%) after an initial period of candidate assessment
Restaurant ticket of 8 euros for all working days
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