Energy Forecasting & Real-Time Control Scientist

Companion.energy; Belgique; On-site; EUR 70,000 - 110,000; Full time

Job summary

Companion.energy is hiring a Data Scientist to build forecasting, optimization, and control algorithms at the core of Companion's platform. You will develop models for energy demand, market prices, and real-time asset control, enabling decisions that affect megawatts and millions in value.

Join a small, impact-driven team shaping data, ML, and control strategy for a renewable-ready grid. Strong ML foundation, MPC or stochastic control experience, Python and the data stack, plus a pragmatic

Qualifications

• MSc/PhD in a quantitative field such as CS, math, statistics.
• Strong background in ML, forecasting, and optimization.
• Experience with real-time/production systems.
• Ability to deploy models to production.

Responsibilities

• Develop forecasting models for energy demand, production, and prices.
• Design and implement MPC or stochastic control for real-time dispatch.
• Build optimization pipelines for portfolios under uncertainty.
• Bridge prediction, planning, and execution in autonomous systems.

Skills

Machine learning

Time series

Statistical modeling

Python

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

MPC

Education

Master's degree in data science / statistics / maths

Tools

Docker

Git

SQL

Airflow

Job description

Companion.energy is hiring a Data Scientist to build forecasting, optimization, and control algorithms at the core of Companion's platform. You will develop models for energy demand, market prices, and real-time asset control, enabling decisions that affect megawatts and millions in value.

Join a small, impact-driven team shaping data, ML, and control strategy for a renewable-ready grid. Strong ML foundation, MPC or stochastic control experience, Python and the data stack, plus a pragmatic