Data Analyst Intern: Predictive Maintenance
vor 3 Wochen
Internship Opportunity
Project: Predictive Maintenance using Machine Learning
The successful candidate will work on a 6-month project to develop and implement machine learning algorithms for predictive maintenance.
Task Overview
Roche operates a data warehouse where production data is collected and analyzed. The web interface allows for data display, and the backend provides basic functionality for anomaly detection and alarm triggering.
Intern Tasks
- Understand the existing methodology and interface to the data warehouse
- Expand existing algorithms to predict specification limit exceedance and include information in automated alarms
- Evaluate anomaly distinction between maintenance and device-related problems
- Implement a machine learning algorithm using production engineer feedback to improve anomaly detection
- Suggest improvements to data collection and analysis, identifying implementation gaps
Requirements
- Programming skills in Python, R, Java, or JavaScript
- Technical background in measurement methods and processes
- Knowledge of statistical data analysis methods
- Fluent German and English
Preferred
- Pre-existing knowledge in predictive/preventive maintenance
- Studies in engineering or science
- Ability to work independently
Company Benefits
- Modern infrastructure with ecological and ergonomic standards
- Flexible working environment (office and home office)
- Flat hierarchies with appreciated input
- Opportunity to work in a diverse network and realize projects together
Application Requirements
- Current CV and motivation letter
- Certificate of enrollment (for students)
- Non-EU/EFTA candidates: certificate stating internship is mandatory and continuous enrollment
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