Reliability Data Intern: Analyze Engine Fleet Performance

INNIO Group; Jenbach; Vor Ort; EUR 27.000 - 33.000; Vollzeit

Benefits dieser Stelle

Flexible working time model

Health We Care program

Strong transport connections

Zusammenfassung

INNIO invites students to join the Reliability & Digital Engineering team in Jenbach for a full-time internship. You will analyze operating data from Jenbacher gas engines to derive simple reliability insights used to improve product design and maintenance concepts.

Under coaching from senior reliability and digital engineers, you will learn to prepare datasets, compute metrics like MTBF and availability, and communicate results through charts and short reports.

Qualifikationen

• Basic experience with Python for data analysis (university coursework or projects)
• Basic understanding of statistics and interest in reliability/energy systems
• Analytical and structured working style with attention to detail
• Good written and verbal communication in English

Aufgaben

• Prepare and clean fleet operating and failure datasets for analysis
• Calculate basic reliability metrics (MTBF, MTTR, availability) for engines/fleets
• Build charts, dashboards, and short reports to communicate results
• Support reliability engineers with data for failure investigations
• Document analysis steps for repeatability and reuse
• Support improvements to data quality and analysis scripts
• Present findings to the team at internship end

Kenntnisse

Python

Statistics understanding

Analytical thinking

English communication

Ausbildung

Bachelor's or Master's in Engineering/Data Science/Statistics/Mathematics

Tools

Python

SQL

Excel

Plotly

Jobbeschreibung

INNIO invites students to join the Reliability & Digital Engineering team in Jenbach for a full-time internship. You will analyze operating data from Jenbacher gas engines to derive simple reliability insights used to improve product design and maintenance concepts.

Under coaching from senior reliability and digital engineers, you will learn to prepare datasets, compute metrics like MTBF and availability, and communicate results through charts and short reports.