Research Associate - Edinburgh, United Kingdom - Wood Mackenzie

Tom O´Connor

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Tom O´Connor

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Description
Company Description

Wood Mackenzie is the global research, analytics, and consultancy business powering the natural resources industry.

For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision-making.


Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.

We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries.

Together, we inspire and innovate the markets we serve - providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world's transition to a more sustainable future.


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Job Description:

Wood Mackenzie is looking for a Research Analyst to join the team in Edinburgh, Scotland.


Main Responsibilities

  • Analyze proprietary, realtime imagery to report on events affecting global refining, chemicals and other commodity infrastructure.
  • Contribute to the development and improvement of machine learning, computer vision models and workflows.
  • Communicate operational changes to market players in real time.
  • Research and organize supporting technical documentation (permits, media articles, regulations, company records, etc.) on refining, chemicals and other commodity infrastructure.
  • Collaborate with fellow analysts in the United States and Europe to provide consistent and reliable reporting and analysis of operational events.

Qualifications:


About you and how you can excel in the role:

  • Be a strong team player with an eye for detail and show creativity in finding alternative solutions.
  • Working knowledge of oil refinery, chemical processing, or other commodity infrastructure operations preferred.
  • Have the ability to synthesize and analyze imagery and other data from a variety of sources quickly and efficiently, often assimilating facts from prior events.
  • Have the ability to execute in a deadlinedriven environment.
  • Have an intellectual curiosity about what drives markets based on economic principles.
  • Exposure to image analysis and/or machine learning concepts (computer vision, event detection, image restoration, image feature analysis) is strongly desired.
  • Proficiency with Microsoft Excel and at least one other database querying language (SQL, Cypher, etc.).
  • Skills in statistical analysis and/or data visualization software.
  • You're an effective communicator with clients and with key internal stakeholders.
  • Experience with Python or R preferred.

Other experiences you would have:


  • Bachelor's degree in Computer Science, Physics, Math, or Economics preferred.
  • You've developed strong quantitative and statistical analytic capabilities from either your professional or academic experiences
  • You are passionate about commodity markets and the global oil supply chain
  • You enjoy data storytelling
  • You are able to work independently and as part of a team, generating ideas you want to share. The way in which you work is productive and driven, striving to be the best in class.
  • If you are passionate about the oil and gas industry and want to develop an indepth understanding of the energy sector, this is a great role for you.
Additional Information

WoodMackenzie is an equal opportunities employer.


We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

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