Refinery Intelligence Analyst

Wood Mackenzie

City of Edinburgh

Hybride

GBP 42 000 - 64 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Wood Mackenzie, a global leader in analytics and data for energy and natural resources, seeks an Associate for the refinery monitoring research team. You will analyze real-time refinery data, train ML models for asset predictions, and generate insights for traders and clients through high-frequency datasets.

This role offers hybrid work and opportunities to influence short-term energy markets. You will work in a fast-paced, collaborative environment with a focus on continuous improvement and

Qualifications

  • Engineer or economist degree with relevant knowledge and ability to contribute from day one.
  • Analytical mindset and attention to detail with data interpretation skills.
  • Excellent communication skills in English, both written and spoken.
  • Able to collaborate across teams and work independently when needed.

Responsabilités

  • Review real-time infrared images to monitor oil refineries and petrochemical facilities across the globe.
  • Train machine learning models to improve asset on/off predictions.
  • Query large datasets to proactively generate insights or respond to client queries.
  • Support efforts to improve internal processes and workflows.
  • Collaborate with colleagues to form an integrated view of short-term markets.

Connaissances

Analytical mindset
Attention to detail
Communication skills
Team player
English proficiency

Formation

Engineer or economist degree

Outils

Excel
PowerPoint

Description du poste

Wood Mackenzie, a global leader in analytics and data for energy and natural resources, seeks an Associate for the refinery monitoring research team. You will analyze real-time refinery data, train ML models for asset predictions, and generate insights for traders and clients through high-frequency datasets.

This role offers hybrid work and opportunities to influence short-term energy markets. You will work in a fast-paced, collaborative environment with a focus on continuous improvement and

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