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
Analyse new use cases and work with an experienced Data Scientist to design, prototype and implement solutions. Prepare new data sources and methods to evaluate the quality of our solutions. Work closely with internal users to ensure our solutions help them work more efficiently. Contribute to continuously improving how the Data Science team works. Skills, Knowledge and Expertise
Required attributes: Two years of experience working as a Data Scientist. Strong academic performance (First, 2:1 or similar) in a quantitative degree, with evidence of a year’s formal study in machine learning. Data science expertise in traditional machine learning, natural language processing (NLP), and data visualization. The ability to collect, analyse and interpret complex quantitative data and information. Experience of using Generative AI. Evidence of good Python programming skills. Strong interest in energy and power markets. Strong communication skills and the ability to adapt your communication style for technical and non-technical audiences. Some of the benefits we include are: Private Medical Insurance Parental Support Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At Aurora, we will consider all requests for flexible working. For most roles, the following types of flexibility are usually possible: a hybrid model of remote and in-office working and flexible start and finish times. Please talk to us during the interview about the flexibility we could offer, and we will be happy to explore the best available option for you. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. About Aurora Energy Research
From its academic roots, Aurora Energy Research is a thriving, rapidly growing company, currently serving over 600 of the world’s most influential energy sector participants, including utilities, investors, and governments.
While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software.
We are a diverse team of experts with vast energy, financial, and consulting backgrounds, covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven intelligence to fuel strategic decisions in the global energy transformation.
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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
Analyse new use cases and work with an experienced Data Scientist to design, prototype and implement solutions. Prepare new data sources and methods to evaluate the quality of our solutions. Work closely with internal users to ensure our solutions help them work more efficiently. Contribute to continuously improving how the Data Science team works. Skills, Knowledge and Expertise
Required attributes: Two years of experience working as a Data Scientist. Strong academic performance (First, 2:1 or similar) in a quantitative degree, with evidence of a year’s formal study in machine learning. Data science expertise in traditional machine learning, natural language processing (NLP), and data visualization. The ability to collect, analyse and interpret complex quantitative data and information. Experience of using Generative AI. Evidence of good Python programming skills. Strong interest in energy and power markets. Strong communication skills and the ability to adapt your communication style for technical and non-technical audiences. Some of the benefits we include are: Private Medical Insurance Parental Support Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At Aurora, we will consider all requests for flexible working. For most roles, the following types of flexibility are usually possible: a hybrid model of remote and in-office working and flexible start and finish times. Please talk to us during the interview about the flexibility we could offer, and we will be happy to explore the best available option for you. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. About Aurora Energy Research
From its academic roots, Aurora Energy Research is a thriving, rapidly growing company, currently serving over 600 of the world’s most influential energy sector participants, including utilities, investors, and governments.
While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software.
We are a diverse team of experts with vast energy, financial, and consulting backgrounds, covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven intelligence to fuel strategic decisions in the global energy transformation.
#J-18808-Ljbffr
