Quantitative Development & Data Science Intern

Preferred start date: Q1 2027 Passionate about quantitative algorithms, Machine Learning and the fast-moving world of energy trading? Join our AI & Quant Development team in Geneva, where quantitative research, data science and software engineering come together to solve real challenges across European power, gas and global LNG markets. Working closely with our trading desks, you will have the opportunity to develop and test quantitative models, explore advanced optimization techniques and contribute to algorithmic solutions that support trading decisions.

TotalEnergies Gas & Power (TGP) is the trading arm of TotalEnergies in the field of low-carbon energies. With more than 550 employees, TGP operates in Switzerland, the United States, Singapore, France, Germany and Spain. It evolves in fast-changing market dynamics influenced by internal and external factors that require constant adaptation. TGP is responsible for optimizing the purchase and sales portfolios of gas, electricity, CO ₂ emissions, dry bulk and LNG across global markets, in compliance with the Company’s trading guidelines.

As a Quantitative Development & Data Science Intern, you will contribute to the research, development and implementation of quantitative solutions for energy trading. Your main responsibilities will include: Quantitative Research & Algorithm Development

• Research and develop quantitative algorithms addressing real-world challenges in electricity, gas and LNG trading.
• Explore optimization techniques for flexible asset dispatch, portfolio optimization, supply-demand matching under constraints and hedging strategies.
• Validate modelling assumptions through data analysis, numerical experiments and backtesting.
• Contribute to the implementation of quantitative models into existing or new algorithmic products. Machine Learning & Data Science
• Research and test Machine Learning approaches for time-series forecasting and energy market applications.
• Develop and evaluate new modules to extend the capabilities of existing AutoML libraries.
• Analyze datasets, assess model performance and identify opportunities to improve forecasting accuracy and robustness. Software Development & Collaboration
• Develop reliable and maintainable Python code for quantitative applications.
• Participate in code reviews, testing and integration processes to ensure high-quality software solutions.
• Work with quantitative developers, data scientists and trading teams to translate business challenges into practical analytical solutions.
• Develop your understanding of the fundamentals of power, gas and LNG markets and their operational and commercial dynamics. 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. Profil du candidat

Currently pursuing a Master's degree in Computer Science, Data Science, Mathematics, Physics or a related quantitative discipline.

• Strong interest in quantitative algorithms, Machine Learning, data science, software engineering and energy trading.
• Solid understanding of data science principles, numerical methods and optimization techniques, including linear programming.
• Proficiency in Python and familiarity with software development best practices.
• An analytical and structured approach to problem-solving, with the ability to challenge assumptions and explore alternative solutions.
• Curious, proactive and eager to learn, with a genuine interest in applying quantitative methods to real business challenges.
• Comfortable collaborating with different stakeholders in an international and fast-paced environment.
• Advanced proficiency in English, both written and spoken. French is an advantage.
• A tri-partite agreement is mandatory

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