Join our Petroleum and Green Fuels Desk as a Data Science Intern and contribute to optimizing and managing our analytics suite. Collaborate in a dynamic environment using SQL, Python, and Tableau to streamline workflows, enhance visualizations, and support commodities research.
What you will do:
- Design automated data pipelines incorporating AI techniques for supply/demand/prices modeling.
- Maintain and enhance interactive dashboards using Python Streamlit.
- Optimize analytics infrastructure by refining code for performance and robustness.
- Implement new features to improve data workflows.
- Deliver actionable insights to support the commodities desk’s research efforts.
What you bring & who you are:
- Bachelor’s degree or higher in Math, Physics, Computer Science, Data Science, Engineering, or a related field.
- Strong experience in SQL and Python for data manipulation, automation, and visualization (Streamlit).
- Familiarity with AI tools and language models for data analysis.
- Experience with Dataiku or Databricks is a plus.
- Fluent in English, with strong communication and presentation skills.
- Team-oriented with a problem-solving mindset and excellent attention to detail.
About the team:
The Petroleum and Green Fuels Desk team leverages data-driven insights to support strategic decision-making in commodities trading. As an intern, you’ll join a collaborative environment that values technical expertise, innovation, and teamwork, directly contributing to shared goals and the desk's success.