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.
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.
-
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.
Desirable:
Unlock global trade intelligence with Kpler’s real-time data on 40+ commodities, power markets, and maritime logistics, trusted by 10,000+ organisations.
Key team members

Krishnan Sastry

Nesha Dotson

Ali Ramady

Ailish Jupp
Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.