Quantitative Weather Research Intern - Energy Markets

ENGIE - International Supply & Energy Management; La Garenne-Colombes; Presencial; EUR 12 000 - 18 000; Tempo integral

Resumo da oferta

ENGIE Campus La Garenne-Colombes is seeking a Quantitative Research Intern to support weather analytics for short-term power markets. You will collaborate with traders, apply statistics and ML to generate synthetic weather scenarios and improve forecast representations.

Fluent English is required, and a Master's degree in a quantitative field is preferred. You will contribute to market insights by aligning forecasts from multiple sources and developing datasets that isolate weather signals,

Qualificações

• Master's degree in a quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Engineering, Physics, or related discipline.
• Previous academic or project experience in quantitative research, statistics, or machine learning is a plus.
• Fluent English.

Responsabilidades

• Conduct statistical analyses of weather forecast runs to assess representativeness and accuracy.
• Develop machine learning models to generate synthetic weather scenarios and improve forecast representativeness.
• Align weather forecast runs from different sources and create aggregated datasets to isolate the weather signal.
• Collaborate with traders to translate research findings into market insights.

Conhecimentos

Analytical skills

Machine learning basics

Python

Formação académica

Master's degree

Descrição da oferta de emprego

ENGIE Campus La Garenne-Colombes is seeking a Quantitative Research Intern to support weather analytics for short-term power markets. You will collaborate with traders, apply statistics and ML to generate synthetic weather scenarios and improve forecast representations.

Fluent English is required, and a Master's degree in a quantitative field is preferred. You will contribute to market insights by aligning forecasts from multiple sources and developing datasets that isolate weather signals,