About Us: GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. http://www.GEEnergyConnections.com
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Role Summary: This is an entry level position within Energy Connections Consulting and will involve the support across the business in relation to Mathematical/Engineering Modelling. The successful candidate will conduct economic and/or engineering system studies related to production cost modelling, reliability analysis, power market forecasting, and long term planning.
Essential Responsibilities: Support across the electric power industry and support other GE business initiatives related to power systems equipment and services.
Develop, maintain, and apply detailed market simulation models for the energy industry for customer planning and investment objectives, evaluating impacts of structural changes in electricity markets, and identifying growth opportunities for GE.
Effectively communicate results to both internal and external customers by preparing written detailed and summary reports and making presentations describing analyses performed, solutions developed, and customer value propositions.
Support GE businesses and customers in the areas of wind and solar integration, smart grid optimization, distributed energy resources, energy storage, asset utilization, new product initiatives, and challenges to the utility business model.
Monitor power markets for rule changes that may affect generation and transmission asset values and advise clients on expected impacts of those rules.
• Bachelor’s Degree in Engineering, Economics, Computer Science or other quantitative degree or equivalent knowledge and experience. • Proficient in collecting, querying, and analyzing complex data, and drawing insightful conclusions. • Experience with data visualization software. • Proficient with Microsoft Office software such as Excel, Access, Word, and PowerPoint. • Strong technical writing, interpersonal communication, and presentation skills.
Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, non-EU/EEA candidates may not be appointed to a post if a suitably qualified, experienced and skilled EU/EEA candidate is available to take up the post, as the employing body is unlikely, in these circumstances, to satisfy the Resident Labour Market Test. For further information please visit the UK Border Agency website
Baseline Personnel Security Standard (BPSS) clearance is required and must be maintained for this role. Please note that in the event that BPSS clearance cannot be obtained, you may not be eligible for the role and/or any offer of employment may be withdrawn on grounds of national security. Please see the link below for further details regarding the requirements for BPSS clearance
• Experience in one or more of the following areas: electric power system modelling, energy market design, operations or policy, generation/transmission planning, wholesale power trading, or energy market consulting. • Experience with production cost models (PLEXOS, MAPs, GridView, PROMOD, reliability models (MARS), or other power system simulation tools (PSLF, PSS/E). • MBA or Master’s/PhD degree in engineering, economics or computer science • Industry reputation, published articles and presentations in industry forums (IEEE, CIGRE, etc.) and participation in industry standards working groups or equivalent knowledge and experience. • Programming experience (Python, MATLAB, VBA, SQL, etc.)
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