Data Scientist |
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Job description
As a Data Scientist, youâll 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, youâll bridge the gap between technical possibility and business impact. Whether itâs machine learning, NLP, or unlocking the value of unstructured data - this role is about making AI practical, scalable, and useful.
Youâll be joining a team, where data and analytical excellence have been integral to the companyâs success from the very beginning. With a business model that is inherently international and data-driven, youâll 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, Letâs 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 wonât be easy.
Letâs 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.
Letâs 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.
Letâs be fun - company-wide bike races and soccer matches, ďŹlm marathons in our cinema room or other engaging team-building activities - we got it covered!
Requirements
- fluent English (C1+)
- a degree (Masterâs 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)
About the company
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.
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