Energy Data Analyst (HSE-ENV-EC-2026-57-GRAP)

The Energy Data Analyst will contribute to the digital transformation of CERN's electricity cost modelling and load forecasting framework within the Energy & Climate Action section of the Environmental Protection group. The role focuses on migrating legacy financial and forecasting tools to a structured Python-based analytical platform, enhancing forecasting granularity and potentially exploring AI-driven approaches for electricity load and price forecasting.

Requirements

• Develop and consolidate a Python-based framework for electricity cost modelling, harmonising and replacing existing Excel tools used for invoice control, virtual invoicing and cost forecasting.
• 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, identifying consumption patterns and improving forecasting granularity from daily to hourly resolution.
• Integrate real-time data sources, including solar PV production, into forecasting and analytical tools.
• Explore and test AI and machine learning approaches for electricity load and price forecasting.
• Monitor developments in European and French electricity markets and prepare bi-monthly reports supporting procurement and risk assessment.
• Support ISO 50001 energy management activities, including documentation, audit preparation and data-driven performance monitoring.
• 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 (for yourself, your spouse and children), and membership of the CERN Pension Fund.
• Family, child and infant monthly allowances depending on your individual circumstances.
• 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.