In such context, TGP helps to ensure growth and profitability to a key segment of the business in order to reach the objective of Carbon Neutrality by 2050.

Based in Geneva, the ML Modelling & Delivery team within the Algo Strategies for Trading group develops machine learning solutions and software tools that support trading desks in their decision-making. The team works in a fast-moving environment shaped by evolving market dynamics, climate policies and the transformation of the energy sector.

This internship offers a unique opportunity to apply machine learning, data science and software development in a real-world trading environment, contributing to practical tools and models used by business teams.

What you will do

As an intern, you will contribute to the development of short-term power algorithmic trading strategies based on machine learning models.

Depending on the team’s priorities and your profile, your responsibilities may include:

• Developing a solid understanding of European power markets, including their structure and short-term dynamics
• Integrating new data sources, including market, fundamental or alternative data, into existing modelling pipelines
• Performing feature engineering to identify relevant signals from newly integrated data
• Designing, training and evaluating machine learning models using AutoML libraries and other ML frameworks
• Backtesting predictive models and algorithmic trading strategies
• Contributing to portfolio construction and risk management approaches
• Monitoring and analysing model performance in paper trading and production environments
• Supporting the development of robust, reusable software tools for trading and modelling activities

What we are looking for

You are currently pursuing a Master’s degree in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative field.

You will thrive in this role if you:

• Have a strong interest in machine learning, data science, software engineering and energy markets
• Have a solid understanding of data science and machine learning principles, combined with familiarity with software development
• Alternatively, bring strong software development skills with a working knowledge of data science and machine learning concepts
• Are proficient in Python
• Have experience with machine learning libraries such as Scikit-learn, XGBoost, TensorFlow or similar frameworks
• Are curious, rigorous and eager to learn in a fast-paced trading environment
• Enjoy solving complex problems and turning data into practical, actionable insights
• Are proactive and comfortable working both independently and as part of a team
• Are fluent in English; French is a plus

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.