Datalab Intern - Pre-hiring Offer

CofaceCasablancaJob.bopublished 12/19/2025
Must-have:PythonGitDockerKubernetesCloudCI/CDAIE-Commerce
Machine translation — original language: French.Show original

At Coface, we move commerce forward every day.

Our 5,200 experts, representing more than 80 nationalities in 58 countries, are united by a common mission: helping companies navigate uncertainty by empowering them to make the right decisions and trade smarter in a complex world.

With nearly 80 years of international experience, we offer companies a full range of solutions: credit insurance, business information, debt collection, single risk insurance, bonds, factoring — all driven by a unique data heritage, cutting-edge technology, innovation, and a deep understanding of the global economy.

Joining Coface means joining a cohesive international organization where your ideas matter.

We cultivate a culture of learning, collaboration, and inclusion, where you have responsibilities and can see the impact of your actions. Shape the future of commerce with us.

Join the Happeners!

Our DataLab is looking for interns who are passionate about data, curious, and motivated to learn and contribute to innovative projects around artificial intelligence, machine learning, and data analysis. 🎯 Missions: You will join the Coface Data Lab team and work most often in pairs or in small teams on innovative projects You will design and completely develop solutions that can implement Machine Learning technologies, up to deployment on our container infrastructures or in the cloud, and production monitoring You will contribute to technological monitoring

Engineering degree or equivalent in Data Science Mastery of supervised and unsupervised learning models, clustering, NLP… Mastery of Python, its ecosystem, and best practices Autonomy, curiosity, rigor English: projects in international contexts Appreciated skills:

Use of Linux and Git Experience in Python application development with high quality standards Implementation of CI/CD pipelines Experience in Docker/Kubernetes deployment and cloud applications Practice of SQL and experience in NoSQL databases (document, graph)