Company: Eni
Skills: IT - Programming & Database, Modeling
Education: Masters Degree
Location: Paris, France


IRC221815 - 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
  • Master's degree


Location:

Levallois-Perret , (Paris) France

Contract type:

Permanent

At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individual , continuous training , and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well-being, welfare and work life-balance.

Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process.

Whatever your ambition, at Eni you can find the tools to make it happen.

Energy for action takers

#LI-EIRL

IRC221815 - CHEF DE PROJECT FORECASTING

Chez Eni, nous recherchons un-Chef de Project Forecasting au sein d'Eni Gas and Power France a Levallois-Perret (Paris), France. Vous serez responsable du developpement de methodologies et d'outils permettant d'assurer les activites de prevision de l'electricite, pour le court terme/ Mise en place d'une base de donnees, automatisation des requetes, retraitement des donnees, modelisation par des techniques de machine learning.

En tant que membre de la gestion de portefeuille et du trading chez Eni Gas and Power France, vous serez charge(e) de :
    • Sous la responsabilite du responsable de la tarification et des previsions, l'analyste previsionniste sera charge de developper des methodologies et des outils de prevision (bibliotheques Python, requetes SQL) pour projeter les courbes de charge des clients d'Eni pour les commodites electriques a court terme.
    • Il participera a divers projets de modelisation pour d'autres produits (gaz, capacite) a court et a long terme.
    • Pour les previsions, l'analyste participe a l'ensemble de la chaine de valeur, de la mise en place de la base de donnees a son traitement et a la construction du modele.
    • Participer aux vacations operationnelles de l'equipe sur les differents processus (prevision de gaz et d'electricite CT et LT, capacite, previsions pour le Business Plan) et realise des etudes pour ameliorer les processus existants.
    • Assurer le suivi quotidien des performances du modele ainsi que l'equilibrage des coots en essayant d'optimiser au maximum ces derniers.
    • Assurer un lien fort avec les equipes de gestion de portefeuille afin de leur donner une vision optimale de leurs expositions et des strategies de gestion d'equilibrage.
    • Responsable du developpement de methodologies et d'outils pour les activites de prevision de l'electricite, notamment a court terme.
    • Responsable du developpement d'une base de donnees, de l'automatisation des requetes, du retraitement des donnees et de l'utilisation de techniques d'apprentissage automatique pour la modelisation.


Cette opportunite est faite pour vous si vous avez ces competences et ces exigences:
    • des connaissances en analyse de donnees et en science des donnees
    • Excellente connaissance de la programmation et de la modelisation: Python (numpy, pandas, scikit-learn, tensorflow, keras,) et Linux.
    • Capacite a gerer de grands ensembles de donnees
    • Une experience dans la prevision de l'electricite ou du gaz est un plus.
    • Bonne connaissance de l'anglais, la connaissance de l'italien serait un plus.
    • Diplome de maitrise


Localisation :

Levallois-Perret, (Paris) France

Type de contrat :

Permanent

Chez Eni, nous croyons en des personnes entreprenantes, capables de faire la difference et d'apporter leur contribution avec passion et innovation, pour repondre aux defis mondiaux de la transition energetique. Pour nous, les competences et les attitudes de chaque individu, la formation continue, la diversite et l'inclusion sont fondamentales. Nous encourageons les methodes de travail flexibles en accordant une attention particuliere au bien-etre, a la protection sociale et a l'equilibre entre vie professionnelle et vie privee.

Eni evaluera les candidatures en considerant la pluralite et la diversite comme des sources d'enrichissement. Si votre candidature est jugee parmi celles qui correspondent le mieux au profil recherche, vous serez contacte pour poursuivre le processus de selection.

Quelle que soit votre ambition, vous trouverez chez Eni les outils pour la concretiser.

L'energie pour ceux qui agissent

#LI-EIRL

Eni is an integrated energy company with more than 32,000 employees in 62 countries around the world.

 

In 2020, the company launched a new strategy which has accelerated ever since, to enable us to reach the target of zero net emissions by 2050 and to provide a variety of fully decarbonized products, combining environmental and financial sustainability, focusing on the technological leadership that has been built up over years of research and innovation.

 

Among the main levers on our path towards decarbonization are the merger of renewables, retail and e-mobility businesses into Plenitude and the recent incorporation of Eni Sustainable Mobility, the company into which bio-refining, biomethane, and the sale of mobility products and services have converged.

 

To speed up the transition, these levers were complemented by the listings of Vår Energi and Energy One and the establishment of Azule, a joint venture with BP in Angola.

 

In addition to these new business models, Eni's strategy is also based on synergy with stakeholders and the development of proprietary and breakthrough technologies to meet the challenge of decarbonization.

 

Eni aspires to contribute to the achievement of the Sustainable Development Goals (SDGs) of the United Nations 2030 Agenda, supporting a just energy transition that meets the challenge of climate change with concrete and economically sustainable solutions by promoting efficient and sustainable access to energy resources, for all.