The Energy Data Analyst will contribute to the digital transformation of CERN’s electricity cost modelling and load forecasting framework. The role involves migrating legacy financial and forecasting tools to a Python-based analytical platform, enhancing forecasting granularity, and exploring AI-driven approaches for electricity load and price forecasting.
Requirements
- Develop and consolidate a Python-based framework for electricity cost modelling
- Analyse electricity supply contracts and translate pricing mechanisms into structured financial simulation models
- Contribute to CERN’s load forecasting activities by analysing historical operational data
- Explore and test AI and machine learning approaches for electricity load and price forecasting
- Monitor developments in European and French electricity markets
- Support ISO 50001 energy management activities
- Contribute to cross-functional activities related to the commercial, financial and contractual follow-up of the various electricity supply agreements
Benefits
- A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree
- 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
- A relocation package (installation grant and travel expenses) depending on your individual circumstances
- Possibility to extend your contract up to 36 months
- On-the-job and formal training including language classes
To apply for this job please visit jobs.smartrecruiters.com.
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