Company Overview
From its academic roots, Aurora Energy Research has grown to become the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of over 600 experts with vast energy, financial and consulting backgrounds, covering power, hydrogen, carbon and fossil commodities. We are active in Europe, APAC and the US, working with world-leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software.
Description
Aurora’s Software Solutions team builds data and analytics software that support our customers’ strategic decisions on the road to a carbon-free future. Widely adopted by leading energy companies and investors, our software combines sophisticated technology, market data and expertise, and great user experience.
Based in Oxford, you will investigate and implement new data science solutions. To begin with these will focus on using Generative AI to help Aurora employees and Customers work more efficiently with complex data and knowledge.
The successful applicant will combine exceptional problem solving and technical capability with a passion to deliver great solutions for our users. The position suits a recent graduate who has formally studied machine learning.
Key Responsibilities
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- Analyse new use cases and work with an experienced Data Scientist to design, prototype and implement solutions.
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- Prepare new data sources and methods to evaluate the quality of our solutions.
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- Work closely with internal users to ensure our solutions help them work more efficiently.
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- Contribute to continuously improving how the Data Science team works.
What we are looking for
Required attributes:
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- Two years of experience working as a Data Scientist.
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- Strong academic performance (First, 2:1 or similar) in a quantitative degree, with evidence of a year’s formal study in machine learning.
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- Data science expertise in traditional machine learning, natural language processing (NLP), and data visualization.
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- The ability to collect, analyse and interpret complex quantitative data and information.
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- Experience of using Generative AI.
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- Evidence of good Python programming skills.
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- Strong interest in energy and power markets.
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- Strong communication skills and the ability to adapt your communication style for technical and non-technical audiences.
What we offer
Some of the benefits we include are:
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- Private Medical Insurance
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- Dental Insurance
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- Parental Support
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- Salary-Exchange Pension
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- Employee Assistance Programme (EAP)
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- Local Oxford Discounts
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- Cycle-to-work Scheme
- Flu Jabs
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