Power Markets Data Scientist – Forecasting & Trading (Paris)

Qair Group; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

10% annual performance bonus

Profit-sharing bonus

Option to purchase Qair shares

10 RTT days in 2027

Résumé du poste

Qair Group in Paris seeks a Data Scientist for Power Markets to build forecasting models, analytics tools, and market analyses supporting energy trading activities across multi-technology portfolios. You will work at the intersection of data, asset optimization, and trading.

Based in Paris with no travel, the role includes hands-on modeling, market research, and interfacing with trading and energy-management teams to improve market efficiency and operational impact.

Qualifications

• Strong command of Python (pandas, numpy).
• Time series forecasting methods and ML applications.
• Proficiency in SQL for large datasets.
• Version control with Git.
• Knowledge of electricity market dynamics (price formation, intraday/spot/forward).
• Tracking financial performance, risk, and trade execution.
• Analytical mindset and data-driven decision making.
• Ability to translate models into operational impact.
• Proficiency in professional French and English.

Responsabilités

• Collect, structure, and validate market data (prices, volumes, production, consumption, weather).
• Build decision-support tools for traders (dashboards, signals, alerts).
• Design and backtest short-term trading strategies.
• Produce analyses on market dynamics across intraday, spot, and forward timeframes.
• Identify opportunities and anomalies from data.
• Improve models/tools based on feedback.
• Integrate models into the existing ecosystem (ETRM, EMS, BI).
• Measure trading strategy performance (PnL, risk, KPIs).

Connaissances

Python

Time series modeling

SQL

Git

Electricity market dynamics

Financial performance tracking

Analytical mindset

French & English

Outils

Pandas

Numpy

scikit-learn

Statsmodels

Description du poste

Qair Group in Paris seeks a Data Scientist for Power Markets to build forecasting models, analytics tools, and market analyses supporting energy trading activities across multi-technology portfolios. You will work at the intersection of data, asset optimization, and trading.

Based in Paris with no travel, the role includes hands-on modeling, market research, and interfacing with trading and energy-management teams to improve market efficiency and operational impact.