Calypso Commodities is a tech company developing AI-based solutions for LNG scheduling, trading & shipping optimisation, saving millions of USD and GHG emissions. Calypso’s X-LNG is globally used by energy majors, utilities, and hedge funds to optimise LNG tanker schedules & portfolios, value optionalities, and make trading decisions.
With a growing team of over 30 top-tier mathematicians, software engineers, & LNG specialists we’ve built the flagship AI scheduling & optimisation solution for the LNG industry – supported by ideas & feedback from a variety of industry majors.
Calypso has emerged as the leading and fastest growing AI-company in the LNG industry, comprising the largest tech-team with over 150 years of experience. We have two offices in Germany, Berlin and Regensburg, one in London-Mayfair, and are increasing our Asian market presence with a Singapore office in Q4 2025.
Data Analysis & Insights:
Perform in-depth analysis of LNG market trends, industry data, and supply chain logistics.
Develop actionable insights to support strategic decision-making.
Modeling & Forecasting:
Assist in creating and refining AI models and algorithms designed to predict market trends and
optimize trading strategies.
Market Analysis & Strategy:
Analyze market trends and competitors to derive new sales strategies.
Collaboration & Innovation:
Work closely with our AI and trading teams to continuously enhance our analytical
capabilities and business operations.
Extreme learning curve:
In 6+ months you will learn how to do business development in the energy and trading industry, learn how to scale AI start-ups, work with our management on a daily basis and be present at client meetings and industry trade shows.
Sustainable impact:
Your work with us will reduce CO2 emissions and help build the efficient and clean energy future of tomorrow.
Career Prospects:
Possibility of permanent employment or writing a thesis.
Dynamic Work Environment:
Work in a motivated team with flat hierarchies.
Modern office in Berlin-Charlottenburg:
Our office is located close to the TU on Ernst-Reuter-Platz and offers a contemporary working environment.
Send us your application documents, consisting of a
ID: 193365