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Intern – Machine Learning, Data Science & Software Development(m/w/x)
Developing ML models for power trading strategies in European energy markets. Master's degree in a quantitative field and ML/software dev skills required. Contribute to carbon neutrality goals.
Requirements
- Master’s degree in Computer Science, Data Science, Mathematics, Physics, Engineering or related quantitative field
- Strong interest in machine learning, data science, software engineering, and energy markets
- Solid understanding of data science and machine learning principles
- Familiarity with software development
- Strong software development skills with working knowledge of data science and machine learning concepts
- Proficiency in Python
- Experience with machine learning libraries (Scikit-learn, XGBoost, TensorFlow, or similar)
- Curiosity, rigor, and eagerness to learn in fast-paced trading environment
- Enjoyment of solving complex problems and turning data into actionable insights
- Proactiveness and comfort working independently and in a team
- Fluent English
- French language skills (plus)
Tasks
- Contribute to short-term power trading strategies
- Understand European power markets and dynamics
- Integrate new data sources into models
- Perform feature engineering for relevant signals
- Design and train machine learning models
- Backtest predictive models and trading strategies
- Contribute to portfolio construction and risk management
- Monitor and analyze model performance
- Support development of reusable trading tools
Education
- Master's degree
Languages
- English – Fluent
- French – Basic
Tools & Technologies
- Python
- Scikit-learn
- XGBoost
- TensorFlow
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Intern – Machine Learning, Data Science & Software Development(m/w/x)
Developing ML models for power trading strategies in European energy markets. Master's degree in a quantitative field and ML/software dev skills required. Contribute to carbon neutrality goals.
Requirements
- Master’s degree in Computer Science, Data Science, Mathematics, Physics, Engineering or related quantitative field
- Strong interest in machine learning, data science, software engineering, and energy markets
- Solid understanding of data science and machine learning principles
- Familiarity with software development
- Strong software development skills with working knowledge of data science and machine learning concepts
- Proficiency in Python
- Experience with machine learning libraries (Scikit-learn, XGBoost, TensorFlow, or similar)
- Curiosity, rigor, and eagerness to learn in fast-paced trading environment
- Enjoyment of solving complex problems and turning data into actionable insights
- Proactiveness and comfort working independently and in a team
- Fluent English
- French language skills (plus)
Tasks
- Contribute to short-term power trading strategies
- Understand European power markets and dynamics
- Integrate new data sources into models
- Perform feature engineering for relevant signals
- Design and train machine learning models
- Backtest predictive models and trading strategies
- Contribute to portfolio construction and risk management
- Monitor and analyze model performance
- Support development of reusable trading tools
Education
- Master's degree
Languages
- English – Fluent
- French – Basic
Tools & Technologies
- Python
- Scikit-learn
- XGBoost
- TensorFlow
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
TotalEnergies Gas & Power Ltd
Industry
EnergyAutomation
Description
TotalEnergies has developed expertise in oil, biofuels, natural gas, LNG, and electricity trading, focusing on low carbon energies.
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