20 beste Stellen als software engineering in genf ge – aktuell auf Personalsuche

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Intern – Machine Learning, Data Science & Software Development

TotalEnergies -
Genf, GE

Jetzt bewerben

Details zur Stelle

Praktikum
vor 3 Stunden

Qualifikationen

Französisch
Englisch
Softwareentwicklung
Python

Vollständige Stellenbeschreibung

Contexte et environnement

TotalEnergies has developed a strong expertise in oil and biofuels, natural gas and electricity trading. Trading entities are based in Geneva, Paris, Houston and Singapore.

TotalEnergies installed its European trading hub across in Geneva, which now bring together very large teams around trading activities: TotalEnergies Trading & Shipping (T&S) and TotalEnergies Gas and Power (TGP).

TotalEnergies Gas and Power (TGP) is the trading arm of TotalEnergies in the field of low carbon energies. As such, it operates in fast-evolving market dynamics influenced by internal and external factors that require constant adaptation and evolution.

The Trading division in Geneva is responsible for optimising the purchase & sales portfolios of gas, electricity, CO2 emissions, dry bulk, and LNG in all recognised markets worldwide, in compliance with the Company trading guidelines.

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.

Activités

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

Profil du candidat

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.

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.

TotalEnergies Gas and Power (TGP) 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 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.

Jetzt bewerben

Erweiterte Suche

software engineering Jobs in genf ge

Intern – Machine Learning, Data Science & Software Development

Roster - Software Developer and Metadata Engineer Consultant for Open Code Infrastructure (OCI)

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Process Controls Software Engineer (TE-CRG-IC-2026-96-GRAP)

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Senior Machine Learning Scientist, Personalization

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Industrial Control System Engineer (SY-EPC-CCS-2026-158-GRAE)

Ich möchte aktuelle Job-E-Mails für Stellen als software engineering in genf ge erhalten

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