Company Description
Job Description
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.
The position also involves monitoring electricity market developments and supporting CERN's ISO 50001 energy management activities.
Your responsibilities:
- 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.
- This role includes team supervision responsibilities.
Your profile:
- Experience developing data analysis or modelling tools in Python (e.g. time-series analysis, statistical modelling or optimisation) in either an academic or industrial environment.
- Experience handling structured datasets and performing quantitative analysis.
- Exposure to electrical power systems, energy systems or electricity markets through studies, internships or research projects.
- Exposure to machine learning techniques applied to forecasting problems is a strong asset.
- Familiarity with financial or contractual modelling is an asset.
- Understanding of European electricity markets is an advantage.
Skills:
- Strong programming skills in Python for data processing, modelling and visualisation.
- Solid understanding of electrical power systems fundamentals.
- Ability to design structured, maintainable and scalable analytical tools.
- Good understanding of time-series analysis and statistical modelling principles.
- Analytical mindset with the ability to translate complex technical and market information into quantitative insights.
- Ability to work independently while collaborating effectively in a multidisciplinary technical environment.
- Spoken and written English, with a commitment to learn French.
Eligibility criteria:
- You are a national of a CERN Member or Associate Member State.
- You have a professional background in Electrical and/or Computer Engineering (or a related field).
- Your studies focused on Electrical and Computer Engineering, Power Systems Engineering, Computer Engineering, Energy Systems Engineering, Energy Data Analytics or a closely related field and have either:
- a Master's degree with 2 to 6 years of post-graduation professional experience;
- or a PhD with no more than 3 years of post-graduation professional experience.
- You have never had a CERN fellow or graduate contract before.
Qualifications
Additional Information
Job closing date: 07.04.2026 at 23:59 CET.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Hybrid
Target start date: 01-July-2026
This position involves:
- A valid driving licence.
Job reference: HSE-ENV-EC-2026-57-GRAP
Field of work: Data Science & Data Analytics
Benchmark job: 200030 - Electrical Engineer
Global 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.
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