Description
Job Description
* Model development: Develop new Power Optimisation models (monitoring/abnormal operation models) & business case calculation
* Model maintenance: Move Power Optimisation models into production environment (ie pitch and Hype) and maintenance of models
* Product Performance: Drive visualization of product performance and other related topics for internal and external stakeholders
Qualification of Candidate
* Ph.D. or Master degree in Sustainable Energy, Operations Research, Statistics, Applied Mathematics, Computer Science, Mathematical Modelling, Statistics, Machine Learning or a related field. The ability to implement models and tools using highlevel modelling languages. Experience with prototyping and developing software in traditional programming languages. Familiarity with Python, SQL, Excel, VBA coding, WTL, SFGU, PI system exlorer, spotfire, Control-M, task scheduler, Powerpoint, git, DORECO, AZURE devops, SFGU experience, WTL
Duration of Service
From until With one option for 6 months extension