Wood Mackenzie is the global leader in analytics insights and proprietary data across the entire energy and natural resources landscape.
For over 50 years our work has guided the decisions of the worlds most influential energy producers utilities companies financial institutions and governments.
Now with the worlds energy system more complex and interconnected than ever before sector-specific views are no longer enough. Thats why weve redefined whats possible with Intelligence Connected.
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We are looking for a full-timeMeteorologist/Electricity Demand Forecasterto join Wood Mackenzies Power Trading Analytics (PTA) team in Edinburgh GB. The PTA teams research spans power market fundamentals and price forecasting to asset valuation and strategy that comprises some of the most highly utilised data reports and insights across Wood Mackenzie. Our broad industry knowledge and deep understanding of the North American power market is unparalleled and helps our clients position for success during the energy transition.
The Research Associate will have a strong background in analytics and growing expertise within the power industry.
About you and how you can excel in this role
Wood Mackenzies North American Power Trading Analytics team is comprised of industry experts that are detail-oriented intellectually curious commercially-savvy and comfortable presenting to clients.
About the role
The Meteorologist/Electricity Demand Forecaster will serve as the driving force in delivering industry-leading short-term demand and renewable forecasts based on a blend of proprietary and public data.
Meteorologist Core Responsibilities:
Utilize models and support tools daily that include spatial and data visualization applications to identify and solve problems in the power industry-specific to an ISO market;
Present the teams ISO desk lead managers and other decision-makers with research projects/presentations memos or reports on market-relevant topics as requested and advise on the effects of various courses of action relevant to specific problems.
Improve current processes and efficiency via automation or building new tools for critical tasks (visual basic/Python/R);
Identify changes in weather models and associated forecasts that influence power prices and articulate these changes to WoodMac analysts and clients.
Modify output from the proprietary electricity demand and renewable forecasting models for various power regions for the day-of out to fourteen days.
Contribute to the advancement of proprietary demand modeling algorithms and techniques from an intellectual and technical standpoint.
Issue daily written reports explaining the forecast and risk to the forecast on electricity demand and renewable generation for sub-regions within the US Power Pools.
Our Ideal Candidate:
Has a Bachelors degree in Meteorology or Atmospheric Science.
Experience in Operational Meteorology preferred but not required.
Understands synoptic and mesoscale meteorology.
Interest in electricity markets and renewables a plus.
Very strong Excel skills are required. Familiarity with Pivot Tables VLOOKUP etc.
Knowledge of North American geography required.
Must be extremely detail-oriented and be able to work under tight deadlines.
Strong verbal and written communication skills.
Must be a team player. Open to assist teammates as needed be transparent and accountable.
Be able to handle pressure make tough calls and take bold stances and risks when warranted
Quick learner and adaptable to process changes.
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
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.
Required Experience:
IC
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