Transport & Environment, Shipping Analyst Intern

• Supporting T&E's in-house analysis of maritime transport, using and improving our Excel and Python models of ship emissions, fuel demand and the cost of alternative fuels.
• Collecting, cleaning and visualising large datasets (for example ship activity and emissions data, fuel and energy prices, port and fleet data) and quality-checking inputs, assumptions and results.
• Researching technological and economic aspects of energy efficiency and alternative fuels for ships, such as hydrogen, e-fuels, biofuels, ammonia and wind propulsion.
• Analysing the impact of EU and international shipping policy (such as FuelEU Maritime, the EU ETS for shipping and the IMO net-zero framework) from an environmental, economic and societal perspective.
• Turning technical analysis into clear charts, briefings and key messages for T&E's advocacy and campaigning work.
• Presenting findings internally and, with guidance, to external audiences.
• Supporting the organisation with ad hoc research and analysis, and helping on other projects within the team to gain a fuller experience of working in the organisation.

• Strong foundation in programming (Python is a must) and in data analysis with Excel or Google Sheets.
• Strong analytical skills, with the ability to think independently and critically, and to quickly grasp technical issues and assess the reliability of data and sources.
• Good communication skills and a good level of English (the working language), with an aptitude for presenting simple messages through data and infographics.
• Ability to work autonomously as well as collaboratively, and to handle ad hoc and reactive tasks within tight deadlines.
• Interest in environmental policy and in decarbonising transport.

Good to have:

• Knowledge of shipping, energy or transport modelling and technologies.
• Experience with data visualisation and with managing large datasets.
• Experience using generative AI tools to support data analysis and coding.
• Other European languages.
• Candidates with an engineering, economics, data science or environmental science background are strongly encouraged to apply, though anyone with relevant skills and interest will be considered.