Data Scientist (TE-DPS-AIM-2026-75-GRAP)

On Site Full TimeGeneva, Geneva, SwitzerlandCERN

Join CERN and take a leading role in developing an AI driven prescriptive maintenance and operational assistance platform for the Large Hadron Collider (LHC).

Requirements

  • Collect and formalise operational use cases and user stories with engineers and maintenance experts
  • Define system requirements and draft solution architecture for an AI-driven prescriptive maintenance platform
  • Design and implement scalable data pipelines for ingesting and processing operational data
  • Perform data pre-processing, feature engineering, and exploratory analysis to prepare datasets for modelling
  • Design and execute machine learning experiments for anomaly detection, failure prediction, and prescriptive recommendations
  • Implement experiment tracking, model validation, and reproducibility practices using ML lifecycle management tools
  • Package and deploy models into production environments through APIs and containerised services
  • Contribute to system integration, testing, performance monitoring, and iterative improvement of deployed models
  • Produce clear technical documentation, specifications, and user-oriented material to ensure maintainability and knowledge transfer

Benefits

  • Monthly stipend between 6372-7004 Swiss Francs per month (tax free)
  • 30 days of paid leave per year plus 2 weeks annual closure
  • Coverage by CERN’s comprehensive health insurance scheme
  • Membership of the CERN Pension Fund
  • Family, child and infant monthly allowances
  • Relocation package
  • Possibility to extend your contract up to 36 months
  • On-the-job and formal training including language classes

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