Job Description
Internship - Machine Learning für Yield Verbesserung mit KNIME (m/f/d)
Premstaetten, Austria

Sense the power of light

ams OSRAM is a global leader in innovative light and sensor solutions. “Sense the power of light” – our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

Your new responsibilities

· Daten für Anwendungsfall prüfen und darstellen

· Implementierung von KNIME auf Laptop (bereitgestellt von ams-OSRAM)

· Datensatz für Anwendungsfall generieren

· Workflow für Anwendungsfall implementieren


Who we are looking for


· Studium der Mathematik/Statistik

· Kentnisse in R / Python / SQL / KNIME

· Grundkenntinsse Machine Learning und statistische Modellierung

· Teilzeitpraktikum für 2 Monate zu 15,4 Wochenstunden


Wir bieten wettbewerbsfähige Gehälter und Zusatzleistungen, die auf Ihrer Leistung, Erfahrung und Qualifikation basieren. Die Beschäftigung erfolgt nach dem Kollektivvertrag der Elektro- und Elektronikindustrie für Praktika.


Please contact Marlies Nigitz for further information via marlies.nigitz@ams-osram.com or +43 (3136) 50032853.

ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
Information at a Glance
Job ID:  20643
Posting Start Date:  4/8/25
Job Family:  General Functions
Career Level:  Student
Company:  ams-OSRAM AG
Schedules:  Part Time
Work Model:  On-Site
Job Shift:  Flex time
Employment Type:  Temporary
Department:  IT Advanced Data Engineering 1
Local Job Grade: 

Application deadline: As long as the job is listed on our career page, we are looking for suitable candidates. We look forward to receiving your application.