Data Analyst Intern: Predictive Maintenance

vor 3 Wochen


Rotkreuz, Zug, Schweiz Roche Vollzeit

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

  1. Understand the existing methodology and interface to the data warehouse
  2. Expand existing algorithms to predict specification limit exceedance and include information in automated alarms
  3. Evaluate anomaly distinction between maintenance and device-related problems
  4. Implement a machine learning algorithm using production engineer feedback to improve anomaly detection
  5. 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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