Research Associate – Power and Renewables (European Power Markets)

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.

Qualification and Experience:-

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.

Location:-

• Gurugram, India.

Company Overview:-

Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.

Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.

We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve – providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world’s transition to a more sustainable future.