Data Scientists

OverviewCoface DataLab is recruiting junior and senior data scientists/ ML engineers to develop and deliver operational AI/ machine learning solutions for the company.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\u2019s 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.Job DescriptionThe 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 modelsExtracting information from images and documents with Transformers and LLMsIdentifying companies with a custom search engine using embeddingsBuilding and mining knowledge graphsFinancial modeling and simulationsThe Data Lab\u2019s work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. Data Lab\u2019s developments also include data extractions from the company\u2019s 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 missionsYou 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 productionYou contribute to technology monitoring and knowledge sharing within the teamQualificationsThe profiles we are looking for:Engineering degree or equivalent in Data Science3 years of experience demostrating proficiency in Python and best practices for code review and continuous integrationUse of Linux and GitAutonomy, curiosity, rigorEnglish and French are mandatory: interactions with business teams all around the worldRecruitment processTechnical interview (video), including a review of the candidate\u2019s professional background 1 estimated duration: 1 hourTechnical assessment in Python and Machine Learning, without AI coding assistance 1 two Colab notebooks, approximately 45 minutes eachInterview with the human resources department 1 estimated duration: 45 minutesJob offerAdditional InformationHybrid positionRemote/hybrid work arrangement depending on the role and location.Remote Work BenefitsAll our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of \u20ac30. Employees receive vouchers worth \u20ac12 for each day of remote work.Language TrainingDepending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages.Remote Work EquipmentAn equipment allowance of \u20ac350 for remote work is available to employees, depending on the type of employment contract.Electric Bike PurchaseA contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract. #J-18808-Ljbffr