We are currently looking for a skilledData Scientistto join an international team for a project within the Digital Economy and AI domain.This is a long-term far-site opportunity open to candidates located anywhere within the EU.LocationRemote / Far-site (EU only)LanguageEnglish requiredItalian is a plusMain ResponsibilitiesDesign and develop advanced data processing and analytics solutionsBuild and maintain data pipelines and ETL processesWork with structured and unstructured data from multiple sourcesDevelop automation workflows and scalable data solutionsSupport AI and machine learning related initiativesContribute to data modelling, analytics architecture, and performance optimisationCollaborate with technical teams, business analysts, and stakeholdersProduce technical documentation and participate in technical meetingsMandatory Technical SkillsStrong experience with Python 3Experience with data processing libraries such as Pandas, NumPy, SciPy, TensorFlow or KerasExcellent knowledge of Elasticsearch and Elastic StackStrong SQL and database knowledgeExperience with Oracle DB / PostgreSQL / MySQLExperience with NoSQL databasesExperience with Graph Databases (e.G. Neo4j)Experience with ETL/data pipelines and workflow automationExperience with data modelling and analytical query optimisationExperience with scripting, testing, debugging, and automationNice to HaveKnowledge of NLP / Machine Learning / Deep LearningExperience with Kibana, Logstash, MongoDB, Apache SolrExperience with BI tools such as Power BI or TableauItalian languageProfileWe are looking for candidates who are:Strong problem solversComfortable in international environmentsAble to work independently in remote settingsGood communicators with both technical and non-technical stakeholdersWorking MethodWorking distribution: 100% remote with only a few on-site presence per year for workshops, trip reimbursed by the client.Long-term assignment with extensionsWork within an international and mission-critical IT ecosystemCandidates must be comfortable working in a very structured, security-focused environments.If you are interested, please read carefully the privacy policy availablehereand submit your application by attaching your CV. We remind you that, pursuant to Article 111-bis of the Privacy Code, it is not necessary to obtain authorization for the processing of personal data contained in your CV.