Research Associate - Oil Refineries and Petrochemicals
Контакты
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
aidata analysisexcelpowerpointmarket researchmachine learningpetrochemicalcommodity marketsoil refining
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$46к$57кмедиана$79к
50 в выборке
На СНГ рынке: $2.9к/мес ($1.7к - $4.4к)
78
Хорошая вакансия
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Роль объединяет исследования энергетических рынков с практической работой над машинным обучением в известной отраслевой компании, но зарплата не указана, а работа требует регулярно приезжать в офис в Эдинбурге.
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Зарплата не указанаСовременные технологииИзвестный работодательОфис обязателен
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Associate - Oil Refineries and Petrochemicals (commodity markets/data analysis): Monitoring oil refineries and petrochemical facilities, training machine learning models, and querying high-frequency datasets to generate market insights with an accent on real-time research, asset status predictions, and client-focused analysis. Focus on reviewing infrared imagery, improving prediction quality, interpreting commodity market data, and connecting refinery events with short-term trading positions.
Location: Edinburgh, United Kingdom; hybrid working with physical presence in the office at least 2 days per week
Company
hirify.global provides analytics, insights, and proprietary data across the energy and natural resources sectors, serving energy producers, utilities, financial institutions, and governments.
What you will do
Monitor oil refineries and petrochemical facilities across the US, Europe, and Asia using real-time infrared imagery.
Train machine learning models to improve predictions of whether assets are operational.
Query large high-frequency datasets to generate insights and respond to client questions.
Support improvements to internal research processes.
Collaborate with colleagues to connect data and insights into an integrated view of short-term markets.
Requirements
Background as an engineer or economist, with relevant experience, skills, or knowledge applicable to the role.
Keen interest in commodity market dynamics and the impact of these markets on the natural resources industry.
Analytical mindset, strong attention to detail, and experience collecting, interpreting, and clearly communicating data and findings.
Experience with Microsoft Office, particularly Excel and PowerPoint.
Ability to work independently and collaboratively in a fast-paced, cross-functional environment.
Excellent written and spoken English communication skills.
Strong presentation, interpersonal, inquisitive, flexible, proactive, and growth-oriented skills.
Ability to maintain performance through change and demonstrate innovation in the AI space.
Nice to have
Fluency in an additional language.
Culture & Benefits
Hybrid working with at least 2 days per week in the office.
Collaborative work across teams and the wider natural resources sector.
Support for continuous learning through feedback, coaching, and on-the-job skill development.
Environment focused on inclusion, trust, customer commitment, curiosity, and future-oriented change.
Full-time employment.
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