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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Power Markets M/F - **Company:** Qair Group - **Location:** Paris, France - **Salary:** €46,000.0 - €52,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Python (Programming Language), NumPy, SQL Databases, Git, Pandas, Scikit Learn, Statistics Packages, Software Version Control - **Published:** July 29, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=d94c0278d6f56414 ## About the Role The following skills are essential for the role: * Excellent command of Python (pandas, numpy required; scikit-learn, statsmodels a plus); * Strong understanding of time series models (ARIMA, probabilistic models, ML applied to forecasting); * Ability to quickly develop and deploy robust, interpretable models; * Proficiency in SQL for handling and analyzing large datasets; * Proficiency in Git for code versioning and team collaboration; * Knowledge of electricity market dynamics (price formation, intraday/spot/forward mechanisms, supply/demand, weather and grid constraints); * Sensitivity to financial performance tracking, risk management, and trade execution; * Strong analytical mindset, able to challenge market intuitions with data; * Ability to translate models into concrete operational impact; * Proficiency in professional French and English. The following skills may help you stand out among applicants: * Experience in strategy backtesting or decision-making modelling; * Prior experience with the Polish and/or European energy market; * Proficiency in another language spoken in countries where Qair operates. This role may not be suitable for you if you have no interest in energy markets or trading operations, or if you are looking for a purely technical role disconnected from renewable energy challenges. ## Description Our culture, based on trust and mutual respect, allows our employees to thrive professionally and actively contribute to the company's success. By unleashing the potential of each individual, we boost collective performance and equip ourselves to meet the challenges of a constantly evolving market. You will join Qair's Energy Management team, which is developing a new sales and trading activity on electricity markets. At the intersection of data, renewable asset optimization, and trading, the team drives the valuation of multi-technology portfolios (solar, wind, storage) and supports the evolution of Qair's energy model toward a more integrated, market-driven approach. As a Data Scientist - Power Markets, you will contribute to building forecasting models, analytical tools, and market analyses that support Qair's activities in the energy markets. This role offers hands-on immersion in how electricity markets function, as well as the opportunity to apply quantitative methods to real operational challenges. The position is based in Paris, with no travel required. Following the end of the trial period, a planned on-call arrangement will be implemented, involving one Saturday and one Sunday per month, with equivalent compensation. You are looking for a stimulating and empowering challenge, where innovation is rewarded? Join us and unleash your potential! Main Tasks The Data Scientist - Power Markets will be responsible for: * Collecting, structuring, and validating market data (prices, volumes, production, consumption, weather); * Developing short-term forecasting models (prices, renewable production); * Building decision-support tools for traders (dashboards, signals, alerts); * Contributing to the design and backtesting of short-term trading strategies; * Producing regular analyses on market dynamics across intraday, spot, and forward timeframes (liquidity, shape, volatility, spreads, intraday patterns); * Identifying and analyzing market opportunities and anomalies from data; * Continuously improving models and tools based on operational feedback; * Contributing to the integration of models into the existing ecosystem (ETRM, EMS, BI); * Contributing to measuring trading strategy performance (PnL, risk, KPIs). ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! 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