Workload: 80–100%

Kick-start your career at Axpo Iberia. Join our Forecasting team to build, test, and automate demand prediction models for Spain and Portugal, working with real market data in a collaborative, learning-focused environment.

What you will do:

• Ingest and clean data: SQL extraction, preprocessing, and feature engineering (holidays, weather, calendar effects)
• Build and compare models (e.g., ARIMA/ETS, regularized regression, gradient boosting, hierarchical approaches) with time-series CV and rolling backtests
• Track model quality: MAE/MAPE/RMSE, bias analysis, drift and outlier detection
• Automate reproducible pipelines (scripts/notebooks, light orchestration) with Git version control
• Create clear dashboards and model reports (Power BI/Tableau or similar)
• Document assumptions, changelogs, and learnings; collaborate with teams to capture requirements and what-ifs

What you bring & who you are:

• Must-have: Studying or recently graduated in Engineering, Mathematics, Physics, Statistics, or Computer Science
• Must-have: Python (pandas, numpy), SQL, and Git; understanding of time-series concepts and rolling backtests
• Must-have: Ability to evaluate models (MAE/MAPE/RMSE), communicate results clearly, and work collaboratively
• Must-have: Spanish language skills
• Nice-to-have: scikit-learn, statsmodels; Power BI/Tableau; Portuguese
• Nice-to-have: Energy market basics (demand drivers, weather/calendar effects, Iberian data sources such as OMIE/REE/REN)
• We encourage you to apply even if you don’t meet every single point

About the team: We’re a supportive, data-driven group focused on learning, high-quality engineering, and practical impact. You’ll pair with experienced forecasters, share knowledge, and grow in an inclusive, collaborative environment.

At Axpo Group, we are dedicated to fostering a culture of non-discrimination, tolerance, and inclusion. As an equal opportunity employer, we welcome applications regardless of race and ethnicity, gender identity and expression, sexual orientation, age, disability, as well as socioeconomic, cultural, and religious background. We are committed to ensuring a respectful and inclusive recruiting process and workplace for everyone.