Job Description

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.

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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

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov


If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.