Associate, Data Science Analyst - EU Energy Markets (Hybrid - 3/2 Work Schedule)

London

Castleton Commodities International

Castleton Commodities International is a leading Global Energy Commodities Merchant and Infrastructure Asset Investor, unlocking value in Energy markets

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CCI is committed to building a best-in-class Data Science platform, as being at the forefront of data management and analytics is core to our investment strategy. We are seeking a highly skilled Data Scientist to join our growing team in the London office with expertise in power, gas, or petroleum market analytics, time series forecasting, and machine learning model building experience. This role is vital for advancing our data science capabilities and adding experienced domain knowledge to our growing team.

In addition, you will serve as our domain expert responsible for delivering insights to the commercial business. Specifically, you'll be accountable for utilizing various data sources to analyze energy market fundamentals to understand the drivers of supply and demand, ultimately predicting future price trends to help the commercial business manage risk.

Responsibilities:

  • Work with desk heads, traders and analysts in order to gain understanding of current data flow, data architecture, investment process, and functional requirements for data science analysis.

  • Perform time series forecasting & build machine learning models for the European Power, Natural Gas, and Petroleum 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 / machine learning models using both commercial tools and custom coding.

  • Apply understanding of the mathematical/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.

  • Work closely with our Risk and Commercial investing teams globally to support their data needs.

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related technical field.

  • 2+ years of experience in 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 – 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.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

  • Competitive comprehensive medical, dental, retirement and life insurance benefits.

  • Employee assistance & wellness programs.

  • Parental and family leave policies.

  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.

  • Charitable contribution match program.

  • Tuition assistance & reimbursement.

  • Quarterly Innovation & Collaboration Awards.

  • Employee discount program, including access to fitness facilities.

  • Competitive paid time off.

  • Continued learning opportunities

Visit  https://www.cci.com/careers/life-at-cci/# to learn more!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Architecture Computer Science Data management Machine Learning ML models Pipelines Python PyTorch Scikit-learn SQL Statistics TensorFlow

Perks/benefits: Career development Fitness / gym Medical leave Parental leave Wellness

Region: Europe
Country: United Kingdom

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