数据科学家/机器学习工程师
Data Scientists / ML Engineers
Coface DataLab 正在招聘初级和高级数据科学家/机器学习工程师，以开发和交付公司运营的 AI/机器学习解决方案。
在大约 100 个国家设有分支机构，Coface 是信用保险和风险管理领域的全球领先企业。Coface 在商业信息、保证债券、政治风险、债务催收和保理方面也享有专业声誉。我们帮助客户保障其业务活动，打造更成功的企业。
由集团执行委员会的多位成员直接支持，Data Lab 聚合了数据科学和软件工程的专业知识，设计、开发并部署能够提升公司风险管理、业务流程、产品和服务的运营解决方案。目前团队稳步增长，约有 30 名成员，主要位于巴黎，同时也在多伦多和卡萨布兰卡设有团队。
Data Lab 团队处理许多数据科学的应用场景，涉及多种机器学习和 AI 技术。例如：
· 使用机器学习模型评估企业失败的风险
· 使用 Transformers 和 LLMs 从图像和文档中提取信息
· 使用嵌入技术通过自定义搜索引擎识别公司
· 构建和挖掘知识图谱
· 财务建模和模拟
Data Lab 的工作包括扎实的软件工程实践，以实现内部工具和客户应用程序的运营集成。Data Lab 的开发还包括从公司数据库中提取数据，以及管理 CI/CD 管道，将应用程序和 API 部署到 Docker/Kubernetes 基础设施、Apache Airflow 和云环境中。
通过团队成员之间的演示、培训和技术监控，知识共享是 Data Lab 运作的一部分。
你的职责：
· 你加入 Data Lab 团队，通常与搭档或小团队一起开展创新项目
· 你设计并开发完整的解决方案，从数据提取和建模到部署到我们的容器基础设施或云端，并在生产环境中进行监控
· 你参与团队内的技术监控和知识共享
我们寻找的候选人：
· 数据科学相关工程学位或同等学历
· 3 年以上经验，展示出对 Python 的熟练掌握以及代码审查和持续集成的最佳实践
· 使用 Linux 和 Git
· 自主性、好奇心、严谨性
· 英语和法语为必选项：在
查看英文原文
Coface 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'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
The profiles we are looking for:
· Engineering degree or equivalent in Data Science
· 3 years of experience demostrating proficiency in Python and best practices for code review and continuous integration
· Use of Linux and Git
· Autonomy, curiosity, rigor
· English and French are mandatory: 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
Hybrid position
Remote Work Benefits
All our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of €30. Employees receive vouchers worth €12 for each day of remote work.
Language Training
Depending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages.
Remote Work Equipment
An equipment allowance of €350 for remote work is available to employees, depending on the type of employment contract.
Electric Bike Purchase
A contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract.