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Data Scientist Power Market Internship – Paris

Groupe Qair · Ville de Paris

Stage Junior 🇬🇧 English
Python pandas numpy SQL Git scikit-learn statsmodels ARIMA probabilistic models

Job description

About the role

We are looking for a motivated intern to join our Energy Management team in Paris. The role focuses on applying data science techniques to short‑term electricity market data in order to uncover trading opportunities and support decision‑making.

Key responsibilities

  • Collect, clean and analyse market data including prices, volumes, generation, consumption and weather information.
  • Develop short‑term forecasting models for electricity prices and renewable generation.
  • Build decision‑support tools such as dashboards, signals and alerts for traders.
  • Assist in designing and back‑testing short‑term trading strategies.
  • Continuously refine models and tools based on operational feedback.
  • Support integration of models into existing ETRM and internal platforms.

Required profile

  • Highly analytical mindset with the ability to challenge market intuitions using data.
  • Strong autonomy and ability to prioritize tasks in a low‑structure environment.
  • Interest in electricity markets and short‑term price formation.

Required skills

  • Python programming (pandas, numpy).
  • Time‑series modelling (ARIMA, probabilistic models, machine‑learning forecasting).
  • SQL for handling large datasets.
  • Git for version control.
  • Familiarity with scikit‑learn and/or statsmodels.

Questions fréquentes

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Le contrat proposé est un Stage basé à Ville de Paris.

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Published 4 months ago

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Groupe Qair

Ville de Paris