Real-Time Energy Optimization Data Scientist

Eneco; Rotterdam; Hybrid; EUR 60,000 - 95,000; Full time

Job summary

At Eneco, you’ll work as a Data Scientist in the Asset Optimization team to build and improve optimization models for the energy portfolio and to translate market opportunities into robust, scalable solutions. You’ll collaborate with traders, dispatchers, operations and tech to bring ideas into production and to create measurable value in live energy markets.

Based in Rotterdam with hybrid working, you’ll develop models for batteries, wind, solar and conventional assets, contribute to

Qualifications

• Master’s degree or equivalent in a quantitative field.
• 1–4 years of relevant work experience in data science or analytics.
• Strong Python skills and clean-code practices.
• Experience with cloud environments, preferably Azure or Databricks.
• English communication skills; Dutch is a plus but not required.

Responsibilities

• Develop and improve optimization models for energy assets.
• Translate market opportunities into robust mathematical models.
• Collaborate with traders, dispatchers and engineers to production.
• Monitor model performance and contribute to incident learning.

Skills

Python

Data analysis

Optimization

English communication

Education

Master's degree

Tools

Azure

Databricks

Job description

At Eneco, you’ll work as a Data Scientist in the Asset Optimization team to build and improve optimization models for the energy portfolio and to translate market opportunities into robust, scalable solutions. You’ll collaborate with traders, dispatchers, operations and tech to bring ideas into production and to create measurable value in live energy markets.

Based in Rotterdam with hybrid working, you’ll develop models for batteries, wind, solar and conventional assets, contribute to