Research Associate – Power and Renewables (European Power Markets)
Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.
Wood Mackenzie Values
- Inclusive – we succeed together
- Trusting – we choose to trust each other
- Customer committed – we put customers at the heart of our decisions
- Future Focused – we accelerate change
- Curious – we turn knowledge into action
About Wood Mackenzie:
Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology and enriched by human intelligence, we empower companies and governments to navigate the energy transition with confidence. With over 50 years of expertise and a team of more than 2,400 professionals across 30 global locations, we deliver actionable insights through real-time analytics, consultancy, events, and thought leadership. Together, we provide the clarity to separate risk from opportunity and make smarter decisions when it matters most.
The Role:
We are seeking a full-time Research Associate to join Wood Mackenzie’s Power and Renewables Research team, focusing on the short-term analysis of European power markets, including day_ahead, intraday, and balancing markets.
As a Research Associate, you will play a critical role in developing and maintaining power market forecasting models across various European geographies. Your work will focus on modeling market and leverage advanced mathematical optimization techniques, machine learning (ML) algorithms, and data analytics to provide accurate price forecasts and actionable insights for our clients.
Key Responsibilities:
- Develop, enhance, and maintain price forecasting models for European power markets, focusing on short-term markets (day-ahead, balancing, and intraday).
- Apply mathematical optimization methods and machine learning algorithms to analyze complex market dynamics and improve forecast accuracy.
- Integrate and analyze large datasets, including power market fundamentals (e.g., demand patterns, weather models, and renewable generation outputs).
- Design and maintain robust data pipelines to ensure accurate and timely model outputs.
- Use data visualization tools such as Power BI to present insights clearly and effectively to both technical and non-technical audiences.
- Collaborate with internal experts across power markets, data science, and policy to enrich our research and deliver comprehensive, client-facing insights.
- Monitor and interpret European energy policies, regulatory frameworks , and their implications on market behavior.
- Support the development of new methodologies and product innovations to enhance our analytical capabilities and deliver deeper insights.
- Engage with clients to understand their needs, present research findings, and provide tailored analytical solutions.
About You:
We are looking for a detail-oriented, innovative, and collaborative individual with a strong background in mathematical optimization, machine learning, and power markets. You thrive in analyzing complex datasets and transforming them into meaningful insights.
Essential Skills and Qualifications:
- A degree in mathematics, engineering, computer science, economics, or a related quantitative discipline.
- Experience in power markets and familiarity with their operational and regulatory frameworks.
- Strong technical expertise in mathematical optimization methods, machine learning algorithms, and statistical modeling.
- Proficiency in programming languages such as Python, R, or SQL for data manipulation and model development.
- Experience with data visualization tools like Power BI, and the ability to communicate insights effectively.
- Strong analytical mindset with the ability to distill complex concepts into clear, actionable information.
- A collaborative approach, with the ability to work across diverse teams and deliver high-quality work under tight deadlines.
- Excellent verbal and written communication skills in English.
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Equal Opportunities
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