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.

The AI & Quant Development team at TotalEnergies Gas and Power is at the forefront of leveraging machine learning to provide valuable insights for various trading desks, propelling the efficiency of the energy transition. Based in Geneva, the team operates in a dynamic environment influenced by evolving market trends, climate policies, and advancements in the energy sector. Focused on creating practical and lasting solutions, the team develops robust software products such as advanced Auto-ML libraries. With expertise in machine learning, data science, quant development and software engineering, the team is committed to delivering impactful tools that drive innovation and efficiency. This internship offers a unique opportunity to gain hands-on experience in a real-world setting, contributing to the company's goal of achieving Carbon Neutrality by 2050.

Activities: 

• Assist in the development of advanced Auto-ML time-series forecasting libraries tailored for trading, energy management and optimization. Contribute to innovation in data science and machine learning and participate in software engineering challenges. Participate in code reviews, testing, and integration processes to ensure high-quality software solutions.

Possible subjects of the internship include: 

• Build and test new modules to expand the functionality of existing ML libraries, optimizing them for enhanced scalability and user experience.

Develop drift detection mechanisms to monitor data changes and determine when to retrain models or adjust forecasting processes.

• Currently pursuing a Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
• Strong interest in machine learning, data science, software engineering and energy trading. 
•  A solid understanding of data science/machine learning principles and familiarity with software development, or strong software development skills with a working knowledge of data science and machine learning concepts.  

Fluency in English or French, with an advanced command of English required.