data science
844 offres d'emploi data science en Luxembourg. Offres mises à jour quotidiennement.
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Technology, Vice President
Il y a 4 mois
Luxembourg Revantage EU Temps pleinOverview Who we “R” Revantage Europe is a professional corporate services company that embraces ambition and innovation to service Blackstone’s European real estate investments. Blackstone is the world’s largest alternative asset manager, with a real estate portfolio that includes industrial & logistics, residential, office, hospitality and retail...
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Senior Research Scientist in Digital Twin Applications
Il y a 4 mois
Luxembourg FM Temps pleinEstablished nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the...
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Science Manager – Biophysical Modeling
Il y a 5 mois
Luxembourg Hydrosat Temps pleinHydrosat is a space and data analytics company building a new Earth Observation constellation and software to unlock the power of thermal infrared imagery. Our mission is to capture and deliver high spatio-temporal resolution thermal infrared data, currently not available from other sources, to provide insights that benefit the environment, enhance food and...
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Data Engineer
Il y a 6 mois
Luxembourg Gumption Group Temps pleinEn tant que Data Engineer, vous serez chargé de concevoir, développer et implémenter des plateformes unifiées pour nos clients. Vous interviendrez sur des projets variés et challengeant, en fonction des besoins spécifiques de chaque client. Vous travaillerez en étroite collaboration avec nos spécialistes internes et nos clients pour garantir des...
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Strategic Analyst
Il y a 6 mois
Luxembourg Groupe Phi Participations Temps pleinCollecter, agréger et traiter des données issues de sources multiples (économiques, financières, sectorielles, géopolitiques) Structurer des problématiques complexes en cadres d’analyse formalisés (modélisation, scénarios, approches quantitatives) Développer des analyses basées sur la donnée (exploration, nettoyage, structuration,...