Data Scientist – Power Markets modelling

Job description

Profil du candidat

  • You are university educated to at least master’s degree in a mathematical subject.
  • You have a minimum of 5 years of experience in a position with a highly quantitative component, ideally gained while working on a trading floor
  • You have a good knowledge of European electricity markets and have acquired a relevant experience in the field by working with power data and at modelling and forecasting power dynamics and prices
  • Strong coding skills in Python (OOP) with proficiency in common libraries for data science
  • Good knowledge of database technologies (PostgreSQL, MongoDB)
  • Proficiency in machine learning and linear optimization techniques
  • Ability to write transferrable code that adheres to best practices
  • Experience working with data architectures
  • Experience with Cloud environments, AWS in particular
  • The position requires autonomy, objectivity, innovation, to be resourceful and well organised as well as ability to work in a fast-paced, deadline driven environment
  • You should be able to explain complex issues and present them in a clear and neat mannerFluent in English – knowledge of French is an advantage
  • Additional and advantageous requirements: xperience working with transactions data

At TotalEnergies, we believe that our employees’ fulfilment has its roots in the wealth of the experiences they are offered. We are an equal opportunity employer committed to respecting diversity and inclusion in the workplace.

Applicants will receive consideration for employment without regard for race, color, gender, religion, national origin, disability, military status, age, marital status, sexual orientation, gender identity, genetic information or any other protected group status.


What you will do:

  • The Quantitative and Trading Analysis (Q&TA) team aims at providing a better understanding of the markets traded by TotalEnergies Gas and Power (TGP) in terms of prices and fundamentals, finding ways to model and forecast their dynamics and dealing with complex issues requiring a quantitative approach (pricing, hedging and simulations of complex products, transactions or assets). The Q&TA team is formed of market fundamentals experts, data scientists, meterologists and quantitative researchers.
  • In a context of great autonomy, the Q&TA team contributes interpretation, advisory and support to all TGP trading desks and to senior management - including COMEX members.
  • You will influence the global TGP trading performance and work with trading desks and other stakeholders throughout the organization to identify opportunities for leveraging data in order to help traders take positions on the markets and more broadly the Company to catch new business opportunities. This requires in-depth analysis of complex and unique problems as well as creative and strategic thinking.

In this position, you will work primarily with the European Power trading desks but you will get exposure and will help on subjects related to all the commodities traded by TGP (including worldwide gas, LNG, electricity, emissions, dry products).


  • Contribute to our in-house suite of short and mid-term power price forecasting models (fundamental/stack optimization, machine learning).
  • Develop analytics and impactful visualization around these models to drive trading idea generation.
  • Mine data and build data pipelines feeding into the models.
  • Contribute to the development and maintenance of statistical and quantitative models,
  • Develop scripts to enable automation and process optimization.
  • Work with Power trading desks and other stakeholders throughout the organization to identify, prioritise and structure complex and unique problems where advanced analytics projects or tools can have the biggest impact.
  • Lead projects with hands-on analysis and modelling to choose the right tool and right level of complexity to reach business objectives.
  • Ensure technology and methodology watch. Conduct extensive investigation to conceive new methods, procedures, and policies.
  • Collaborate with IT and data engineering teams to productionize models


  • Enhance TGP ability to leverage data in order to model and optimise power assets/portfolios/strategies and help generate additional value for the Company by driving the right trading decisions.
  • Reply promptly and reactively to business needs and requests from traders (predominantly power) and management.
  • Supply guidelines and support to the teams on any topics involving analysis and modelling of large data sets.

Our Culture

We are committed to meet the energy needs of a growing population and we are committed to the energy transition. The volatility of the energy trading markets requires excellence in risk management and a culture of innovation. We are fully embracing the digital revolution.

Our people flourish in an environment that promotes expertise, entrepreneurship spirit, agility and a purpose-driven culture, generating boundless opportunities to learn, grow and achieve collaborative success.

Reinforcing the competencies of our people is a key pillar of our culture: we train our people to ensure their development and we pledge to encourage safety in all our actions.

We look for passion, ambition and open-mindedness. While we evolve in a demanding industry that requests to be always on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, where the diversity of our people and their skills create a nourishing experience for all of us.

Contexte et environnement

TotalEnergies Gas and Power is the trading arm of TotalEnergies in the field of low carbon energies (mainly gas, LNG and power). As such it operates in fast-evolving market dynamics influenced by internal and external factors that require constant adaptation and evolution. Uncertainties specific to the trading environment (volatility of prices, supply & demand mismatches) are coupled with those coming from the broader energy sector (climate change policies, changes in the energy mix, developments of new energy sources, etc). In such context Trading helps to ensure growth and profitability to a key segment of the business in order to reach the objective of Carbon Neutrality by 2050.

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