Castleton Commodities International
Data Scientist – Global Oil Markets (Hybrid - 3/2 Work Schedule)
Be an Early Applicant
The Data Scientist will focus on time series forecasting and machine learning model building for the global oil and shipping markets. Responsibilities include delivering data science solutions, mentoring junior team members, and collaborating with commercial teams to provide insights from data analysis, ultimately assisting in predicting future price trends and managing risk.
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 time series forecasting and machine learning model building experience. This role is vital for advancing our data science capabilities and delivering high value projects that directly affect decision making.
In addition, you will serve as a domain expert responsible for delivering insights to the commercial business. Specifically, you'll be accountable for utilizing time series data to analyze oil and shipping market fundamentals to understand the drivers of supply and demand, ultimately predicting future price trends to help the commercial business manage risk.
Responsibilities:
- Serve as a domain expert for the Global Oil Data Science initiatives, collaborating closely with both the Data Science and Commercial teams.
- Perform time series forecasting & 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 / 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.
- 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.
Qualifications:
- 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.
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!
Top Skills
Python
SQL
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