Commodities Data Scientist

6 days ago

London, Greater London, United Kingdom Castleton Commodities International Full time
About the Role

Castleton Commodities International (CCI) is seeking a highly skilled Data Scientist to join our growing team in the London office. As a key member of our Data Science platform, you will play a vital role in advancing our data science capabilities and adding experienced domain knowledge to our team.

Key Responsibilities
  • Collaborate with desk heads, traders, and analysts to gain a deep understanding of current data flow, data architecture, investment processes, and functional requirements for data science analysis.
  • Develop and implement time series forecasting models and machine learning algorithms for the European Power, Natural Gas, and Petroleum markets, leveraging historical data to predict future trends.
  • Design and deliver end-to-end data science solutions for users, from data ingestion to production, using advanced analytics and machine learning models.
  • Apply mathematical and statistical fundamentals 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.
  • Work closely with our Risk and 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 a Data Science role at an energy commodity trading or investment firm, with a focus on European Power, Natural Gas, or Petroleum markets.
  • Proven experience with time series forecasting and machine learning techniques, specifically in the energy markets.
  • Strong programming skills in Python and SQL.
  • Familiarity with machine learning frameworks and libraries.
  • 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.
Employee Benefits
  • Competitive comprehensive medical, dental, retirement, and life insurance benefits.
  • Employee assistance and wellness programs.
  • Parental and family leave policies.
  • Charitable contribution match program.
  • Tuition assistance and reimbursement.
  • Quarterly Innovation and Collaboration Awards.
  • Employee discount program, including access to fitness facilities.
  • Competitive paid time off.
  • Continued learning opportunities.

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