Data Scientist | f/m/d

ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, delivers integrated IT and business services to international markets. The company focuses on advanced IT services and business-driven technology solutions, supporting various end-to-end insurance processes including finance, operations, and underwriting. ET&S operates offices in Warsaw and Gdansk and fosters a dynamic, multicultural environment with strong global partnerships.

• Fluent English (C1+)
• Master's degree or higher in a quantitative or technical field (e.g., Mathematics, Informatics, Natural Sciences, or Engineering)
• Strong hands-on programming experience; knowledge of Python and Kubernetes (K8s) is a plus
• Experience with NLP tasks and unstructured data
• Familiarity with cloud platforms and tools supporting scalable model deployment (e.g., MLOps, Docker, Git)
• Sharp analytical and conceptual skills with a structured approach to problem-solving
• Experience working in high-performance, cross-functional teams and fast-paced project environments
• Proven ability to communicate insights clearly to both technical and non-technical audiences
• Comfortable working at the interface of business, data, and technology
• Proactive mindset and willingness to take ownership from idea to implementation

Nice to have:

• Knowledge of German (B1+)
• Experience with Large Language Models and Generative AI in a business setting
• Exposure to agile working methods and cross-functional product teams
• Understanding of SQL, data pipelines, and basic software engineering principles
• Certifications or formal training in AI/ML or cloud environments (e.g., Azure, AWS, Databricks)

• Collaborate with business and tech teams to translate ideas into data- and AI-driven solutions
• Develop and deploy machine learning and NLP models using modern tools and methods
• Prepare structured and unstructured data for analysis and modelling
• Create visual and analytical outputs that support decision-making and tell compelling data stories
• Contribute to internal initiatives to improve data infrastructure, tools, and methods
• Work in cross-functional, agile teams and keep stakeholders informed

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