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CECERN

Energy Data Analyst(m/w/x)

Genf
from CHF 6,372 - 7,004 / month
Full-timeWith Home OfficeManagement
AI/ML
Data Science

Developing Python framework for electricity cost modeling, consolidating tools for invoice control and forecasting for a large-scale research facility. Python data analysis/modeling experience with time-series/statistical methods and energy market exposure required. 30 days paid leave, 2 weeks annual closure, family allowances.

Requirements

  • Experience developing data analysis/modelling tools in Python (time-series, statistical modelling, optimisation) in academic/industrial environment
  • Experience handling structured datasets and quantitative analysis
  • Exposure to electrical power systems, energy systems or electricity markets
  • Strong asset: Exposure to machine learning for forecasting
  • Asset: Familiarity with financial or contractual modelling
  • Advantage: Understanding of European electricity markets
  • Strong Python programming skills for data processing, modelling, visualisation
  • Solid understanding of electrical power systems fundamentals
  • Ability to design structured, maintainable, scalable analytical tools
  • Good understanding of time-series and statistical modelling principles
  • Analytical mindset, ability to translate technical/market info into quantitative insights
  • Ability to work independently and collaborate effectively
  • Spoken/written English, commitment to learn French
  • Nationality of CERN Member or Associate Member State
  • Professional background in Electrical/Computer Engineering or related field
  • Studies focused on Electrical/Computer Engineering, Power Systems, Energy Systems, Energy Data Analytics or related field
  • Master's degree with 2-6 years post-graduation professional experience
  • PhD with no more than 3 years post-graduation professional experience
  • No prior CERN fellow or graduate contract
  • Valid driving licence

Tasks

  • Develop a Python-based framework for electricity cost modelling.
  • Consolidate and replace existing Excel tools.
  • Harmonise tools for invoice control, virtual invoicing, cost forecasting.
  • Analyze electricity supply contracts.
  • Translate pricing mechanisms into financial models.
  • Analyze historical operational data for load forecasting.
  • Identify electricity consumption patterns.
  • Improve forecasting granularity to hourly resolution.
  • Integrate real-time data sources into forecasting tools.
  • Incorporate solar PV production data into analytical tools.
  • Explore and test AI/ML for electricity load and price forecasting.
  • Monitor European and French electricity markets.
  • Prepare bi-monthly reports for procurement and risk assessment.
  • Support ISO 50001 energy management.
  • Prepare ISO 50001 documentation.
  • Assist with ISO 50001 audit preparation.
  • Monitor data-driven energy performance.
  • Support commercial follow-up of electricity agreements.
  • Support financial follow-up of electricity agreements.
  • Support contractual follow-up of electricity agreements.
  • Supervise team members.

Work Experience

  • 2 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent
  • FrenchBasic

Tools & Technologies

  • Python
  • Machine learning

Benefits

More Vacation Days

  • 30 days paid leave
  • 2 weeks annual closure

Healthcare & Fitness

  • Comprehensive health insurance

Retirement Plans

  • Pension fund membership

Family Support

  • Family, child, and infant allowances

Other Benefits

  • Relocation package

Learning & Development

  • On-the-job training
  • Formal training
  • Language classes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CERN and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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