Data Scientist - Asset Optimization

at Eneco

📍 Rotterdam, Netherlands

EUR 71,000-100,000 per year

MIDDLE

✅ Hybrid

Tech Stack
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3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

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Azure @ 3 Communication @ 6 Data Science @ 5 Databricks @ 3 Mathematics @ 3 Python @ 6 Statistics @ 3

Details

Develop and improve optimization models that support real-time trading decisions and the operation of Eneco’s diverse energy asset portfolio, including batteries, conventional generation assets, wind farms, and solar parks. The role covers the full lifecycle of data-driven solutions, from analysing challenges and designing models to building, testing, deploying, monitoring, and continuously improving production systems.

Responsibilities

Build and improve optimization models for energy asset dispatch.
Translate contracts, market opportunities, and asset behaviour into mathematical models.
Develop clean, modular Python code and contribute to production-quality solutions.
Improve model monitoring and reliability using real-time and realised asset data.
Collaborate with data scientists, developers, traders, dispatchers, technology, forecasting, and operations teams.
Support international rollouts and the continued development of advanced battery optimization capabilities.
Monitor model performance, resolve incidents, and use operational learnings to strengthen the optimization platform.
Identify opportunities to create additional business value and turn ideas into practical solutions.

Requirements

Master’s degree or equivalent experience in a quantitative field such as computer science, mathematics, statistics, econometrics, physics, engineering, or a related discipline.
Approximately 1 to 4 years of relevant experience in data science, analytics, or a comparable role.
Strong Python skills and an understanding of clean code, testing, and monitoring.
Experience with mathematical modelling, optimization, or algorithm development.
Experience with cloud-based data environments, preferably Azure, Databricks, or similar tools.
Ability to understand business needs and translate them into robust, data-driven solutions.
Experience in energy, trading, or consulting is advantageous.
Strong English communication skills; Dutch is advantageous but not required.
Currently living in the Netherlands.

Work Environment

The position is part of the Analytics & Realization domain within Trade Operations & IT. The Asset Optimization team consists of four data scientists and a team lead and works closely with developers, short-term desk traders, dispatchers, and operations colleagues. The role is based at Eneco World in Rotterdam and follows a hybrid working model, combining office collaboration with working from home.

Benefits

Gross annual salary of €71,000 to €100,000.
Salary includes FlexBudget and 8% holiday allowance; depending on the role, a bonus or collective profit sharing may also apply.
FlexBudget can be paid out, used to purchase additional holiday days, or saved.
Opportunities for professional development.
Flexible working hours and the option to work from home where the role allows.
Healthy work-life balance and an inclusive working environment.