Présentation

At Qair, we have chosen a flexible organization that promotes versatility among our employees and allows the company to constantly adapt to market needs.

Our corporate culture is inspired by the entrepreneurial spirit that has driven Qair since its inception. Far from traditional hierarchical management, we encourage initiative and autonomy, fostering an environment conducive to innovation and creativity.

We are an independent renewable energy company. Our 780 employees operate more than 1.7 GW of assets across the 20 countries where we are present and are developing a pipeline of more than 35 GW.

Our culture, based on trust and mutual respect, allows our employees to thrive professionally and actively contribute to the company's success. By unlocking the potential of each individual, we boost collective performance and equip ourselves to meet the challenges of a constantly evolving market.

The position is based in Paris, in the 8th arrondissement.

You will join the Energy Management team, responsible for developing a new short-term electricity market trading activity (day-ahead, balancing, intraday, and imbalance) . Your mission will be to leverage market data to identify trading opportunities and improve decision-making.

You are looking for a stimulating and empowering challenge, where boldness and innovation are rewarded? Join us and unleash your potential!

Main Tasks

As a Power Market Data Scientist, your main responsibilities will include:

• Collect, structure, and analyse market data (prices, volumes, fundamentals: generation, consumption, weather) ;
• Develop short-term forecasting models (prices, renewable generation) ;
• Build decision-support tools for traders (dashboards, signals, alerts) ;
• Contribute to the design and backtesting of short-term trading strategies;
• Continuously improve models and tools based on operational feedback;
• Participate in integrating models into the existing ecosystem (ETRM, internal tools) .

Skills Required

The following skills are essential for the role:

• Excellent proficiency in Python (pandas, numpy) applied to data science;
• Strong command of time series models (ARIMA, probabilistic models, ML applied to forecasting) ;
• Ability to develop and deploy robust, interpretable models rapidly;
• Proficiency in SQL and ability to handle large data volumes;
• Proficiency in Git for code versioning and team collaboration;
• Highly analytical mindset, able to challenge market intuitions through data;
• Strong autonomy, ability to prioritise and deliver in a low-structure environment.

The following skills may help you stand out among applicants:

• Proficiency in scikit-learn and/or statsmodels;
• Experience in strategy backtesting or decision-making modelling;
• Strong interest in electricity markets and understanding of short-term price formation mechanisms (supply/demand, weather, grid constraints) ;
• Sensitivity to financial performance tracking, risk, and execution challenges;
• International background or experience in a multi-country environment.

This role may not be suitable for you if you prefer a purely academic or research-oriented setting with no operational dimension, if you are uncomfortable with strong autonomy and rapid responsibility, or if energy markets and their quantitative challenges do not particularly appeal to you.

Benefits

• Meal vouchers worth €9.50 per day.

TYPE OF CONTRACT: End-of-studies internship, 6 months.

JOB LOCATION: Paris, 8th arrondissement.