Data Scientist | f/m/d

ERGO

Warszawa

Hybrid

PLN 180,000 - 260,000

Full time

14 hours ago
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Benefits offered by this job

Remote working option
Office in Warsaw
Training & development

Job summary

ERGO Technology & Services S.A. (ET&S) in Warsaw is seeking a Data Scientist to design and deliver AI-powered solutions across the business. You will bridge the gap between technical capability and business impact, shaping prototypes to production-scale applications involving NLP and unstructured data.

You’ll work in agile, cross-functional teams, collaborating with stakeholders, and contributing to data infrastructure improvements while enabling scalable model deployment in cloud environments.

Qualifications

  • Master’s or higher in a quantitative or technical field (e.g., Mathematics, Informatics, Natural Sciences, Engineering).
  • Strong hands-on experience in programming; Python is required.
  • Experience with NLP tasks and unstructured data.
  • Familiarity with cloud platforms and tools for scalable model deployment (MLOps, Docker, Git).
  • Analytical and structured problem-solving approach.
  • Experience in high-performance, cross-functional teams and fast-paced projects.
  • Ability to distill complex concepts and communicate insights to technical and non-technical audiences.

Responsibilities

  • 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.
  • Prepare structured and unstructured data for analysis and modeling.
  • Create visual and analytical outputs that support decision-making and data storytelling.
  • Contribute to internal initiatives to improve data infrastructure and tooling.
  • Work in cross-functional, agile teams and keep stakeholders informed.

Skills

Python programming
Kubernetes
NLP
Unstructured data
Cloud platforms
MLOps
Docker
Git
Analytical thinking
Cross-functional teamwork
Communication of insights

Education

Master's degree in quantitative/technical field

Tools

Kubernetes (K8s)
Docker
Git

Job description

About the role

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.

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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