Fuel Oils / Bunker Analyst Intern

Join the Liquids Data Operations team to help scale our bunker tracking product from existing established hubs to additional bunkering centres worldwide.

This is a hands-on data analytics internship with exposure to shipping/commodities domain logic, geospatial filtering, and operational automation.

Key Responsibilities

• Increase Geographical Coverage: Expand the current bunker tracking model (python-based) to other hubs, including conducting exploratory work to fine-tune for each hub’s nuances
• Perform Routine Backtesting: Validate modelled bunker activity by exporting analysis-ready CSVs and reconciling monthly estimates against official port statistics, industry publications, or other trusted external sources.
• Investigate Data Quality Issues: Routinely analyze the bunker tracking data set to identify structural data quality issues and develop improvement solutions in the pipeline / post-processing to resolve them.
• Improve Pipeline & Data Platform: Help mature how we develop, run and persist bunker pipelines so that expansion is maintainable and scalable.

Essential

-

Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field.

-

Practical experience with Python for data processing (coursework, personal projects, or prior internship acceptable).

-

Comfort working with SQL (queries, joins, basic schema concepts) and tabular data (CSV/Excel-style analysis).

-

Ability to work independently on defined tasks while asking targeted questions when domain or data ambiguity arises.

Desirable

-

Exposure to pandas, SQLAlchemy, or similar data stack used in ETL pipelines.

-

Familiarity with Git, pull requests, and collaborative code review.

-

Interest in or prior exposure to shipping, energy commodities, maritime AIS, or geospatial data.

-

Experience with CLI tools, environment variables, and cloud/database connectivity (PostgreSQL preferred).

-

Basic understanding of automated workflows (e.g. GitHub Actions) or Google Sheets/API integrations.