CHEF DE PROJECT FORECASTING

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Eni
Paris
EUR 45 000 - 75 000
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Aujourd’hui
Description du poste

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IRC222750 – CHEF DE PROJECT FORECASTING

At Eni , we are looking for a Chef de Project Forecasting within Eni Gas and Power France in Levallois-Perret (Paris) , France. You will be responsible for the development of methodologies and tools to ensure that the electricity forecasting activities are carried out, for the short term / Setting up of a database, automation of queries, reprocessing of data, modelling using machine learning techniques.

As a member of portfolio management and trading at Eni Gas and Power France you will be responsible for :

  • Reporting to the Pricing and Forecasting Manager, the Forecasting Analyst will be responsible for developing forecasting methodologies and tools (Python libraries, SQL queries) to project Eni's customer load curves for electricity commodities over the short term.
  • Participating in various modelling projects for other commodities (gas, capacity) over the short and long term.
  • For the forecasting the analyst participates in the entire value chain, from setting up the database to processing it and building the model.
  • Participating in the team's operational shifts on the various processes (CT and LT gas and electricity forecasting, capacity, forecasts for the Business Plan) and carries out studies to improve existing processes.
  • Ensuring daily monitoring of the model's performance as well as balancing costs by trying to optimize the latter as much as possible.
  • Ensuring a strong link with the Portfolio Management teams to give them an optimal vision of their exposures and balancing management strategies.
  • Responsible for the development of methodologies and tools for electricity forecasting activities, particularly in the short term.
  • Responsible for the development of a database, the automation of queries, the reprocessing of data, and the use of machine learning techniques for modelling.

This is the opportunity for you if you have these skills and requirements :

  • data analysis and data science knowledge
  • Excellent programming and modelling knowledge : Python (numpy, pandas, scikit-learn, tensorflow, keras,) and Linux
  • Ability to manage large data sets
  • Experience in electricity or gas forecasting is a plus
  • Good knowledge of English, Knowledge of Italian would be a plus
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