Data Scientist
Core
Developing prognostic and prescriptive ML models, decision support systems, and production-grade ML solutions for Nordic balancing and grid operations.
Role type
Senior Machine Learning Engineer (Grid Operations)
Builds
Production ML models, predictive applications, and decision support tools for grid balancing and planning.
Domain
Energy grid operations / Power systems
Deliverable
production ML models
Required skills
Python, Machine Learning, CI/CD pipelines, Linux, Docker, Kubernetes/OpenShift
Preferred skills
Time series analysis, backtesting environments, graph databases, control room systems experience
Technologies
Python, Docker, Kubernetes, OpenShift, Azure DevOps, Linux
Responsibilities
Design and develop ML models and predictive solutions, implement production pipelines, ensure quality assurance and reproducibility, develop applications for forecasts and decision support, manage ML model lifecycle and improvement, collaborate with developers and DevOps, contribute operational planning scenarios.
Seniority
Mid-Senior, hands-on IC