About the Position

Data Scientist | f/m/d

Warsaw

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 a real scale.

Responsibilities

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 modelling
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

Requirements

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
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)

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!

About the Company

Follow our social media to stay up-to-date with the latest news from our company.

Refer a friend

Data Scientist | f/m/d

Job description