Intern Data Scientist: Commodity Tracking

QuantCube analyses billions of alternative data points in real time, using artificial intelligence and big data analytics to deliver insights ahead of the market – giving users an edge in their investment strategies.

Today we are the global leader in macroeconomic intelligence nowcasting and in pinpointing macro regime change. Our vision is to become the standard point of reference for macroeconomic, sector, corporate and environmental intelligence. By delivering timely, comprehensive, and actionable economic insights we empower users within financial institutions, corporates, and public bodies to reach their financial performance and sustainability goals.

Headquartered in Paris, QuantCube employs a diverse international team of economists, quant analysts and data scientists with expertise in multilingual NLP, deep learning and machine learning techniques. The company’s shareholders include Moody’s and Caisse des Dépôts and its R&D in computer vision has been partially funded by the European Space Agency (ESA) and French government space agency CNES. QuantCube also leverages on the Chair “Nowcasting - New Measures of the Economy” it has created with three other institutions at the Paris School of Economics to work on state-of-the-art methodologies.

QuantCube Technology’s Commodity product consists in providing real-time indicators of global commodity trade and production to different economic actors, whether it be private investors like hedge funds or banks or public institutions. Based on alternative big data analytics, these indicators provide timely measurements of global production and commerce, uncovering developing global economic trends in real time. The QuantCube Macro Team is therefore looking for an intern with a taste for big data analytics, a problem-solving mindset, and a strong interest in the production and commercialization of raw materials.

Missions:

The assignments you will be working on include:

• Understand international trade of key commodities and its relations with major economies
• Tracking wolrdwilde commodity production and its supplychain using alternative datasets
• Take part in the alternative data collection and processing
• Using and improving QuantCube Machine Learning pipelines with state-of-the-art algorithms
• Writing production-ready code using MLOps best practices

Benefits:

You will have the opportunity during these assignments to quickly gain responsibility: to lead a project from A to Z from pre-processing to modelling; benefiting from weekly updates on the global economy; to communicate directly with our IT and Data Science teams who are at the forefront of their field; present your work to the whole team at the end of the internship.
We are a close-knit, friendly and multicultural team. We are looking for motivated people to join the adventure and participate in the development of QuantCube.

• Good level in python
• Strong Interest in Economics
• Knowledge of agricultural production cycles
• Fluent in English
• Experience with Spark desirable but not mandatory

QuantCube recruits and recognises all talents

1. Meet the Recruiter and Lead DS (30 min)
2. Technical interview (1h)
3. Meet the co-founders (30 min)