Data Analyst Internship for Predictive Maintenance
Vor 3 Tagen
Job Description
We are seeking a highly motivated and detail-oriented Data Analyst Intern to join our team at Roche. As a Data Analyst Intern, you will play a crucial role in analyzing production data and developing predictive maintenance models using machine learning algorithms.
About the Project
The project involves analyzing large datasets from various test fixtures to identify anomalies and predict potential issues before they occur. You will work closely with our production engineers to understand their requirements and develop solutions to improve the efficiency of our manufacturing processes.
Your Tasks
- Analyze existing data warehouse methodologies and interfaces to identify areas for improvement
- Develop and implement machine learning algorithms to predict when specification limits are likely to be exceeded
- Evaluate the possibility of distinguishing between anomalies that require maintenance activities and those that indicate problems with devices under test
- Implement a feedback loop using machine learning algorithms to improve anomaly detection
- Suggest improvements to data collection and analysis, identifying gaps in the current implementation
Requirements
- Programming skills in Python, R, Java, or JavaScript
- Technical background in measurement methods and processes
- Knowledge of statistical data analysis methods
- Fluent English language skills (due to existing documentation)
Preferred Qualifications
- Pre-existing knowledge in predictive/preventive maintenance
- Studies in engineering or science
- Ability to work independently with minimal supervision
What We Offer
- Modern infrastructure with high ecological and ergonomic standards
- Flexible working environment (office and remote work options)
- Flat hierarchies where input is valued
- Opportunity to collaborate with a diverse network of professionals
Estimated Salary Range: €2,500 - €3,000 per month
About Roche
Roche is a leading global pharmaceutical company dedicated to improving human life. Our company offers a dynamic and supportive work environment with opportunities for growth and development.
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