Data Scientist II utilizing cutting - edge machine learning and AI solutions at Early Warning Services. Collaborating with cross - functional teams to deliver business results and enhance financial services.
About the role
- Lead Weather-to-Power Data Scientist improving short-term trading performance at Ørsted. Develop and maintain forecasting models in collaboration with traders, quants, and IT.
Responsibilities
- leading and developing our in-house short-term weather-to-power setup for forecasting wind generation
- collaborating on projects to improve our data structure, speed and ML/AI initiatives to choose the right methods, tools and level of complexity to reach business objectives
- ensuring reliable, on-time forecast delivery across markets, performance monitoring and incident handling to safeguard quality and performance
- turning data into action by developing impactful analytics and visualization tools and creating evaluation frameworks to measure forecast quality and trading outcomes
- working in close collaboration with forecast vendors, traders and other stakeholders to extract maximum value from forecast and asset portfolio information.
Requirements
- have bachelor’s degree or higher in mathematics, physics, meteorology, or a related field
- have minimum 3-5 years’ experience in a quantitative role, ideally in weather modelling, renewable generation forecasting and short-term trading
- have ability to drive performance improvements and innovation in fast-moving, time-sensitive environment
- have experience using Python and modern data tools to build (Pandas , Scipy, etc.), validate, and operationalize (CI/CD, Kubernetes, advanced ML) forecasting models on large weather and energy time‑series datasets, working with cloud-based and production-grade data platforms (Azure/AWS).
- have strong communication skills, able to explain complex problems clearly, analyse issues and provide comprehensive and actionable solutions.
- are fluent in English.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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