Intern - Pibs Data Analytics (M/F)
vor 3 Wochen
**Job Description Summary**: Als Mitglied des Fleet Services (FS) Analytics Teams in der Gas Power Engineering Organisation würdest du mit Hilfe von statistischen Methoden und Daten Analysen Erkenntnisse liefern für die herausfordernsten Probleme unserer Ingenieur Teams. Zusätzlich würdest du uns dabei unterstützen die Zuverlässigkeit zu verbessern für die am besten laufende Kraftwerks-Flotte der Welt.
- Du wertest Messdaten aus und erstellst Modelle mit Hilfe von state-of-the art Technologien, mit dem Ziel die Ursachen und Signaturen zu finden von Anomalien der überwachten Kraftwerks Flotte.
- Du wirst Analytics entwickeln, testen und installieren mit Hilfe von Python für das GE Vernova M&D Center
- Du wirst KPIs entwickeln und darstellen für ein noch besseren Geschäftseinblick vom Laufverhalten der GE Vernova Flotte
- Du arbeitest eng mit Kunden zusammen um Anforderungen zu ermitteln und funktionale und technische Dokumentation zu erstellen
- Du wirst bei uns einen Einblick in Software Best Practices und Lean-Management erhalten sowie die Möglichkeit bekommen dein erlerntes wissen aktiv mit einzubringen
**Dein Profil**
- Du hast die Eidgenössische (Berufs-)Matura
- Du möchtest ein praxisintegriertes Bachelorstudium (PiBS) in Teilzeit an der FHNW/ ZHAW studieren und unser Team auf einer 40%-Basis unterstützen
- Du sprichst fliessend Deutsch und hast sehr gute Englischkenntnisse
- Es wäre von Vorteil wenn du schon Programmierkenntnisse in Python und/oder Spark hast
- Du bist lernbereit und hast eine vorliebe für’s Optimieren
- Du arbeitest gerne im Team, bist verantwortungsbewusst und hast Lust auf eine dynamische und globalle Organisation
- Du bist jemand der Lösungsorientiert arbeit
**Additional Information**:
**Relocation Assistance Provided**:No
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Intern - PiBS Data Analytics (m/f)
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Baden, Schweiz GE Vernova Vollzeit**Job Description Summary**: Als Mitglied des Fleet Services (FS) Analytics Teams in der Gas Power Engineering Organisation würdest du mit Hilfe von statistischen Methoden und Daten Analysen Erkenntnisse liefern für die herausfordernsten Probleme unserer Ingenieur Teams. Zusätzlich würdest du uns dabei unterstützen die Zuverlässigkeit zu verbessern...
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