Data Scientist ML Engineer

At Coface, we make trade happen everyday. Our 5,200 experts representing 80+ nationalities in 58 countries are united by a shared purpose: helping companies navigate through uncertainty by empowering them to make the right decisions and trade smarter in a complex world. With nearly 80 years of global experience, we offer companies a full range of solutions: Trade Credit Insurance, Business Information, Debt Collection, SingleRisk insurance, Surety Bonds, Factoring — all driven by a unique data patrimony, cutting‑edge technology, innovation and a deep understanding of the global economy. Joining Coface means being part of a close‑knit international organization, where your ideas matter. We foster a culture of learning, collaboration and inclusion where you are given responsibilities and can see the impact of your actions. Shape the future of trade with us. Join our Happeners Job Description With a presence in around 100 countries, Coface is a leading global player in credit insurance and risk management. Coface is also a recognized expert in business information, surety bonds, political risk, debt collection, and factoring. We help our clients secure their business activities to build more successful companies. Directly sponsored by several members of the Group Executive Committee, the Data Lab brings together expertise in Data Science and Software Engineering to design, develop, and deploy operational solutions that improve the company's risk management, business processes, products and services. The steadily growing team now has around 30 members, mainly based in Paris, as well as in Toronto and Casablanca. The team addresses many use cases for Data Science, involving a variety of Machine Learning and AI technologies. For example: Scoring the risk of business failure with Machine Learning models Extracting information from images and documents with Transformers and LLMs Identifying companies with a custom search engine using embeddings Building and mining knowledge graphs Financial modeling and simulations The Data Lab's work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. Data Lab’s developments also include data extractions from the company’s databases and management of CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the cloud. Knowledge sharing through presentations between team members, training, and technology monitoring during dedicated time are all part of how the Data Lab operates. Your missions You join Data Lab team and most often work in pairs or small teams on innovative projects. You design and develop complete solutions, from data extraction and modeling to deployment on our container infrastructures or in the cloud, and monitoring in production. You contribute to technology monitoring and knowledge sharing within the team. Qualifications The profiles we are looking for: Engineering degree or equivalent in Data Science 3 years of experience demonstrating proficiency in Python and best practices for code review and continuous integration Use of Linux and Git Autonomy, curiosity, rigor English: interactions with business teams all around the world Recruitment process Technical interview (video), including a review of the candidate's professional background — estimated duration: 1 hour Technical assessment in Python and Machine Learning, without AI coding assistance — two Colab notebooks, approximately 45 minutes each Interview with the human resources department — estimated duration: 45 minutes Job offer #J-18808-Ljbffr