Data Scientist | f/m/d

About Us ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities. About the role As a Data Scientist, you’ll work with stakeholders across the business to design and deliver AI-powered solutions that solve meaningful problems. From shaping prototypes to deploying real-world applications, you'll bridge the gap between technical possibility and business impact. Whether it’s machine learning, NLP, or unlocking the value of unstructured data — this role is about making AI practical, scalable, and useful. You'll be joining a team, where data and analytical excellence have been integral to the company’s success from the very beginning. With a business model that is inherently international and data-driven, you’ll contribute to advancing how we apply AI across diverse business domains — at real scale. How you will get the job done - collaborating with business and tech teams to translate ideas into data- and AI-driven solutions - developing and deploying machine learning and NLP models using modern tools and methods - preparing structured and unstructured data for analysis and modeling - creating visual and analytical outputs that support decision-making and tell compelling data stories - contributing to internal initiatives to improve our data infrastructure, tools, and methods - working in cross-functional, agile teams — and keeping stakeholders informed along the way Skills and experience you will need - fluent English (C1+) - a degree (Master’s or higher) in a quantitative or technical field (e.g., Mathematics, Informatics, Natural Sciences, or Engineering) - strong hands-on experience in programming; knowledge of Python and Kubernetes (K8s) is a plus - experience working with NLP tasks and unstructured data - familiarity with cloud platforms and tools that support 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 - Project Management experience - proven ability to distill complexity and communicate insights clearly to both technical and non-technical audiences - comfortable working at the interface of business, data, and technology - a proactive mindset and willingness to take ownership from idea to implementation Nice to have - knowledge of German (B1+) - experience working 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) What we offer Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape. Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy. Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses. Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future. Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered! Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!