Senior Data Scientist | f/m/d

Senior Data Scientist | f/m/d

ERGO Technology & Services S.A.

Warsaw
Senior Data Scientist
🤖 AI
machine learning
NLP
🐍 Python
🚢 Kubernetes
🧠 MLOps
🐳 Docker
Git
cloud platforms
project management
agile

Podsumowanie

Senior Data Scientist – projektowanie i wdrażanie rozwiązań AI, rozwój i deployment modeli ML/NLP, przygotowywanie danych, tworzenie wizualizacji, usprawnianie infrastruktury danych, praca w zespołach agile. Wymagane: magisterium, Python, angielski C1+, doświadczenie z NLP, chmurą, MLOps, zarządzanie projektami.

Słowa kluczowe

Senior Data ScientistAImachine learningNLPPythonKubernetesMLOpsDockerGitcloud platformsproject managementagile

Benefity

  • pakiet medyczny
  • karta sportowa
  • elastyczne godziny pracy
  • możliwość pracy zdalnej
  • program wsparcia pracownika
  • pokój gier
  • biuro przyjazne psom
  • warsztaty i szkolenia
  • hackathony
  • platformy e‑learning
  • kursy językowe
  • działania CSR
  • wyścigi rowerowe
  • mecze piłkarskie
  • maratony filmowe
  • integracje zespołowe
  • polityka różnorodności

Opis stanowiska

What you will do

As a Senior 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.

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 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

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!

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
  • Project Management experience
  • proven ability to distil 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

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