Aufgaben

• Entwickle automatisierte Datenpipelines mit AI-Techniken.
• Pflege und verbessere interaktive Dashboards mit Python Streamlit.
• Optimier die Analytik-Infrastruktur für bessere Leistung.

Fähigkeiten

• Studium in Mathe, Physik, Informatik oder verwandten Bereichen.
• Erfahrung in SQL und Python für Datenmanipulation und Visualisierung.
• Teamorientiert mit Problemlösungsdenken und Detailgenauigkeit.

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: