Energy Forecasting Data Scientist – Short-Term Trading

Eneco; Rotterdam; On-site; EUR 70,000 - 100,000; Full time

Job summary

Eneco, a leading energy company, seeks a Short Term Forecasting Data Scientist to join the Forecasting Analysis & Execution team. You will blend hands-on operational work with the development of forecasting products for wind, solar, and energy demand, supporting traders with accurate forecasts for short-term trading decisions.

You'll monitor forecast performance, analyze anomalies, and investigate incidents, while collaborating with traders and cross-functional teams to implement robust

Qualifications

• MSc degree in a quantitative field.
• At least 4 years of relevant experience in data science.
• Strong Python and SQL skills.
• Analytical and hands-on mindset.
• Ability to initiate improvements and work with traders and other teams.
• Attention to detail and robust, maintainable solutions.
• Flexibility in a changing environment.

Responsibilities

• Monitoring forecast results and identifying irregularities, outliers, and performance issues.
• Supporting day traders by answering questions about forecasts, positions, and monitoring results.
• Investigating and resolving incidents involving models, systems, forecasts, or data flows.
• Developing, improving, and validating forecasting models for renewable production and energy consumption.
• Developing monitoring and reporting products that support Eneco's trading teams.
• Working with the Forecast Product Development team to turn operational insights into structural improvements.
• Contributing within a DevOps environment using Databricks, Python, SQL, Azure DevOps, and CI/CD.

Job description

Eneco, a leading energy company, seeks a Short Term Forecasting Data Scientist to join the Forecasting Analysis & Execution team. You will blend hands-on operational work with the development of forecasting products for wind, solar, and energy demand, supporting traders with accurate forecasts for short-term trading decisions.

You'll monitor forecast performance, analyze anomalies, and investigate incidents, while collaborating with traders and cross-functional teams to implement robust