Data Scientist | f/m/d

ERGO

Województwo mazowieckie

Hybrid

PLN 180.000 - 280.000

Vollzeit

Vor 6 Tagen
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Benefits dieser Stelle

Medical package
Sports card
Remote working option
Dog-friendly office

Zusammenfassung

ERGO Technology & Services S.A. (ET&S) in Poland is seeking a Data Scientist to design and deliver AI-powered solutions across business units. You will bridge technical possibility and business impact by applying ML, NLP, and unstructured data analytics at scale.

You will join a data-driven, international team that values collaboration, robust data workflows, and practical AI deployment. The role offers flexible hours, with hybrid work from Warsaw or Gdansk.

Qualifikationen

  • Master’s or higher in a quantitative/technical field.
  • Strong Python programming experience.
  • Experience with NLP and unstructured data.
  • Knowledge of cloud platforms and scalable deployment tools (MLOps, Docker, Git).
  • Excellent communication to translate insights to technical and non-technical audiences.
  • Experience in cross-functional, fast-paced teams.

Aufgaben

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

Kenntnisse

Python
Kubernetes
NLP
Cloud
Docker
Git
MLOps
Data storytelling
Agile teamwork

Ausbildung

Master’s or higher in quantitative/technical field

Tools

SQL

Jobbeschreibung

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
  • 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)
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!

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