Data Scientist

3 days ago


London, Greater London, United Kingdom oilandgas Full time
About the Role

Career opportunities are available at oilandgas, a leading company in the energy sector, for a highly skilled Data Scientist to join our team in the London office. We are seeking an expert in time series forecasting and machine learning model building to advance our data science capabilities and deliver high-value projects that directly impact business decision-making.

Key Responsibilities
  • Collaborate closely with the Data Science and Commercial teams to serve as a domain expert for the Global Oil Data Science initiatives.
  • Perform time series forecasting and build machine learning models for the global oil markets, leveraging historical data to predict future trends.
  • Deliver end-to-end data science solutions for users from data ingestion through to production using advanced analytics and machine learning models.
  • Apply understanding of mathematical and statistical fundamentals behind machine learning to improve existing applications and inspire new ones.
  • Create new data ingestion pipelines and source new data sets.
  • Communicate findings and insights to stakeholders through comprehensive reports and presentations.
  • Mentor and guide junior data scientists, fostering a collaborative and innovative team environment.
  • Work closely with our Commercial investing teams globally to support their data needs.
Requirements
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related technical field.
  • 2+ years of experience in Data Science, with a focus on Shipping, Oil & Petroleum asset classes, including crude oil and refined products.
  • Proven experience with time series forecasting and machine learning techniques, specifically in the shipping & global oil markets.
  • Strong programming skills - Python & SQL.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, etc.).
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.


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