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Entry LevelFull-timePythonMachine LearningGitAI
Salary Range
$35,530 - $48,070 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
CERN is seeking an Energy Data Analyst to contribute to the digital transformation of electricity cost modelling and load forecasting. This role involves migrating legacy tools to a Python-based platform and enhancing forecasting capabilities.
Key Responsibilities
- →Develop and consolidate a Python-based framework for electricity cost modelling, replacing existing Excel tools
- →Analyse electricity supply contracts and create financial simulation models
- →Improve load forecasting by analysing historical data and identifying consumption patterns
- →Integrate real-time data sources like solar PV production into forecasting tools
- →Explore AI and machine learning approaches for electricity load and price forecasting
- →Monitor European and French electricity markets and prepare bi-monthly reports
- →Support ISO 50001 energy management activities including documentation and audit preparation
- →Contribute to cross-functional activities related to electricity supply agreements
- →Supervise team members
Requirements
- ✓Experience developing data analysis or modelling tools in Python
- ✓Experience handling structured datasets and performing quantitative analysis
- ✓Exposure to electrical power systems, energy systems or electricity markets
- ✓Familiarity with machine learning techniques applied to forecasting
- ✓Understanding of European electricity markets
- ✓National of a CERN Member or Associate Member State
- ✓Professional background in Electrical and/or Computer Engineering
- ✓Master's degree with 2-6 years of experience or PhD with up to 3 years of experience
- ✓Never had a CERN fellow or graduate contract before
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