Associate, Data Science Analyst – Global Oil Markets (Hybrid - 3/2 Work Schedule)

TN United Kingdom; London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading company in the global oil markets is seeking an Associate Data Science Analyst to join their innovative team in London. This hybrid role involves leveraging data science to support commercial teams, developing machine learning models, and mentoring junior data scientists. The ideal candidate will have a strong background in data science and experience in the shipping and oil sectors. Competitive benefits and opportunities for professional growth are offered.

Benefits

Employee assistance and wellness programs

Parental and family leave policies

Charity involvement with 2 volunteer days annually

Charitable contribution matching

Tuition assistance and reimbursement

Quarterly Innovation & Collaboration Awards

Employee discounts, including fitness access

Paid time off

Opportunities for continued learning

Qualifications

• At least 2 years of experience in Data Science, focusing on Shipping and Oil markets.
• Proven experience with time series forecasting and machine learning techniques.

Responsibilities

• Serve as a domain expert for Global Oil Data Science initiatives.
• Perform time series forecasting and build machine learning models.
• Communicate findings and insights to stakeholders.

Skills

Data Science

Problem Solving

Communication

Education

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Associate, Data Science Analyst – Global Oil Markets (Hybrid - 3/2 Work Schedule), London

Client: Castleton Commodities International LLC

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: a7bba12f51e4

Job Views: 3

Posted: 14.05.2025

Expiry Date: 28.06.2025

Job Description:

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 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 to production, using advanced analytics and machine learning models with both commercial tools and custom coding.
• Apply understanding of the mathematical and statistical fundamentals behind machine learning to improve existing applications and develop new ones.
• Create new data ingestion pipelines and source additional data sets.
• Communicate findings and insights to stakeholders through 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, focusing 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 and global oil markets.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support employees, their families, and local communities, including:

• Employee assistance and wellness programs
• Parental and family leave policies
• CCI in the Community: Each office has a Charity Committee, and employees are allocated 2 days annually to volunteer at selected charities.
• Charitable contribution matching
• Tuition assistance and reimbursement
• Quarterly Innovation and Collaboration Awards
• Employee discount program, including fitness facilities
• Competitive paid time off
• Opportunities for continued learning

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