Data Scientist

Intecs Engineering Spais 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 or Napoli (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 solutionsWrite software that ensures high accuracy and speed performances, maintainability, scalability, reusability and reliability upon deploymentRead scientific research papers, re-implement them and customize solutions according to company needs and customer requirementsExtract semantic patterns and useful insights from dataTrain AI-based models, collect results on validation datasets and iterate for model optimizationPrepare presentations and participate in technical meetings, with possibility of short travels in Italy and/or abroadDraft technical documentationsContribute to the drafting of technical proposals for national and international research initiativesMust Have:Good knowledge of PythonKnowledge of the main packages for Machine Learning: numpy, pandas, matplotlib, sklearnKnowledge of the Tensorflow framework or, in alternative, PyTorchKnowledge 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 algorithmsHands-on experience with Docker container and conda environmentsMaster Degree in a STEM field (preferred Computer Science, Computer Engineering, Physics or Mathematics) with a degree grade of at least *******Ability to present the results of the work to both technical and not technical audiencesGood knowledge of the English language (at least B2), both written and oralWillingness to learn and ability to adapt to changing and challenging scenariosAbility to work independently and in a teamAvailability to work in the Defence fieldPreferred:At least 2 years work experience in an industrial setting as a Data ScientistHands-on experience in Predictive Maintenance and Anomaly Detection algorithmsHands-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.Experience working with Agent-based architectures (preferred LangChain framework), including tool integration and multi-step reasoning workflows.Hands-on experience in Experimental Tracking with MLflowAbility to propose original solutions to improve our products and servicesWhat we offer:Work with a team of professionals with different background and experienceFace technical problems in different technology domains from Defence and Space to Railway and AutomotiveTake on more responsibility and grow professionallyPresent projects to workshopsHybrid work (up to 60%) after an initial period of candidate assessmentRestaurant ticket of 8 euros for all working daysHealth care plan "Fondo Metasalute"