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.

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.

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.

Overview of CERN - Discover a world where the impossible is made possible!

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Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success.

If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART!

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