Reliability Analytics Engineering Intern (f/m/d) For 6 Months

GE HealthCare Technologies

Determined in accordance with collective agreement...
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Python or similar data analysis tools
Foundational understanding of statistics
Exploratory data analysis skills
** GE HealthCare is seeking a Reliability Analytics Engineering Intern for a six-month period to support the analysis of data-driven health metrics for ultrasound imaging systems. The role focuses on analyzing system-generated data to identify reliability trends and support maintenance initiatives, providing valuable hands-on experience in a collaborative environment. **

Job Summary

  • This role focuses on analyzing system-generated data to derive health indicators and identify reliability trends for ultrasound imaging systems.
  • The intern will collaborate with cross-functional engineering and analytics teams to support proactive maintenance initiatives and continuous improvement efforts.
  • GE HealthCare offers a hybrid working model with 4 days onsite and 1 day home office over a six-month duration.

Matching Summary

Match Score: 75

** GE HealthCare is seeking a Reliability Analytics Engineering Intern for a six-month period to support the analysis of data-driven health metrics for ultrasound imaging systems. The role focuses on analyzing system-generated data to identify reliability trends and support maintenance initiatives, providing valuable hands-on experience in a collaborative environment. **

Salary

Determined in accordance with collective agreement; varies by student grade level and duties

Skills & Requirements

Must-have

  • Python or similar data analysis tools
  • Foundational understanding of statistics
  • Exploratory data analysis skills
  • Fluent English written and spoken

Nice-to-have

  • Time-series or trend-based data analysis
  • Experience with data visualization tools
  • Interest in reliability engineering
  • Academic projects involving analytical problem-solving

Key Requirements

  • Currently pursuing Bachelor's or Master's degree in Data Analytics, Data Science, Engineering, Statistics, or Computer Science

Work Rights

Not specified

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