Fraud Detection, Prognosemodelle, Automatisierung von Schadenentscheidungen) Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von Schadenbearbeitung, Risikobewertung und Kosteneffizienz Konzeption datengetriebener Entscheidungsmodelle in enger Zusammenarbeit mit Claims-Fachbereichen, Aktuariat, IT und Data Engineering Aufbau skalierbarer Data-Pipelines und analytischer Frameworks für AI-gestützte Claims-Lösungen Bewertung neuer Technologien und Trends (z.B. generative AI, Computer Vision, NLP) und deren Einsatzmöglichkeiten im Schadenmanagement Fachliche Beratung interner und externer Stakeholder – inklusive Business-Case-Bewertung, Governance und Operationalisierung Erfolgreich abgeschlossenes Studium oder eine relevante alternative Qualifikation Fundierte relevante Berufserfahrung im P&C-Umfeld, idealerweise in Claims Analytics, Data Science, Actuarial Analytics oder ähnlichen Rollen Sehr gute Kenntnisse in der Analyse und Modellierung von Schadenprozessen in der Sach-/Haftpflichtversicherung (Property & Casualty) Expertise in KI- und Analytics-Anwendungen im Schadenumfeld (z.B.
. • One to three years related manufacturing experience is preferred • Use business systems and Microsoft Office Suite software. Ability to use basic computer operations. • Ability to use gauges to measure. Ability to be precise, organized, and review work. Your Benefits At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion.
Develop IT-security–focused application software using modern C++ (non-embedded)Implement and integrate a Classroom Training System based on Virtual Battlespace 4 (VBS4), including scenario logic and system extensionsBuild and maintain distributed simulation environments for multi-user training setupsContribute to software design, UML modeling, code reviews, and unit testingWork with tools such as Git/Mercurial, Qt, and Visual StudioCollaborate closely with simulation specialists and customers in the defence sectorPrepare technical documentation and communicate effectively in English Successfully completed degree in Computer Engineering (ETH, FH or TH)Solid knowledge of distributed simulatorsExperience with Virtual Battle Space 4 (VBS4)In-depth knowledge of object-oriented software development with C++ is an advantageExperience in C++ development outside the embedded domainProfessional experience in the defence sector is an advantagePractical experience with Git/Mercurial, Qt, Visual Studio, software design / UML, and unit testing is an advantageStrong analytical skills and the ability to quickly understand complex software systemsSolution-oriented, innovative, and independent working styleExcellent English skills, both written and spoken By applying through Hays, you will be part of a small, well-fitting selection presented to the client for this positionOpportunity to gain valuable professional experience at a globally leading companyProfessional support throughout the application process: We provide valuable tips for your documents and prepare you specifically for interviewsBenefit from exclusive access to exciting companies and projects in collaboration with Hays as a reliable and stable partner Ihr Kontakt Referenznummer 863812/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt