Intern Data Scientist: Soft Commodity Yield Modelling
QuantCube Technology
QuantCube Technology

Intern Data Scientist: Soft Commodity Yield Modelling

  • 15, Boulevard Poissonnière, Paris, 75002
  • Internship 
    Starting date:
    A few days at home
    Education: Master's Degree
    Experience: < 6 months

    This position was filled!

    Who are they?

    QuantCube Technology has been using artificial intelligence and big data analytics to provide real-time macroeconomic insights since 2013.

    The company operates one of the world’s largest alternative data lakes, processing over 14 billion pieces of data. Sources include news, social media, satellite data, and sea and air traffic.

    QuantCube’s macroeconomic indicators (economic growth, inflation, employment, international trade), correlate strongly with official data and far exceed consensus. Financial institutions that use QuantCube data benefit from real-time insights, ahead of official figures, which they can transform into investment strategies.

    Based in Paris, our team is international, diverse and specialized 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 CNES.

    Job description

    QuantCube Technology’s commodity product consists in providing real-time indicators of global agricultural production and trade 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 crop developments worldwide, uncovering developing trends that could have major implications 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 agricultural products worldwide.

    We are open to gap year internship to start in september 2023


    The assignments you will be working on include:

    • Understand key aspects of agricultural production worldwide

    • Measuring agricultural production 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


    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.

    Preferred experience

    • Good level in python 

    • Strong Interest in Economics 

    • Knowledge of agricultural production cycles  

    • Fluent in English 

    • Experience with Spark desirable but not mandatory    

      -We are open to gap year internship to start in september 2023-

      QuantCube recruits and recognises all talents

    Recruitment process

    1. Meet the Recruiter and Lead Data Scientist (30 min)

    2. Technical Interview (1h)

    3. Meet the co-founders (30min)

    QuantCube Technology
    QuantCube Technology

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