Eurowings Holidays GmbH

Data Scientist (AI & Decision Intelligence) – All genders

Stellenbeschreibung:

EWH is looking for an AI enabled Data Scientist combining strong analytical expertise, software engineering discipline, business understanding, and AI productivity skills.

Tasks

  • Design, build, and deploy Machine Learning and AI solutions from idea to production.
  • Develop forecasting, recommendation, pricing, customer segmentation, and optimization models.
  • Leverage GenAI and LLM technologies to automate processes and enhance business decision-making.
  • Partner with stakeholders across Commercial, CRM, Finance, Operations, and Product teams.
  • Transform ambiguous business questions into analytical frameworks and actionable insights.
  • Build scalable solutions using cloud technologies and modern data platforms.
  • Evaluate AI opportunities and determine where classical ML, optimization, or GenAI delivers the highest value.

Requirements

  • 5+ years of Data Science experience.
  • Strong Python or R.
  • Experience with Machine Learning and Statistics.
  • Experience with cloud platforms (Azure, Databricks).
  • Experience deploying models into production.
  • Strong experimentation and causal inference knowledge.
  • Data engineering understanding (pipelines, APIs, orchestration).

In 2026, AI increasingly commoditizes coding. The differentiator is becoming:
Business Curiosity, Communication, Stakeholder Management, Ownership, Critical, Thinking, Adaptability

About Eurowings Holidays GmbH

Eurowings Holidays is the tour operator of Eurowings, one of the leading airlines in Europe and part of the Lufthansa Group. We offer our customers the perfect combination of flight, hotel and other travel services for unforgettable vacation experiences- all flexible, affordable, and individually bookable. Our goal? To make travel as easy as possible while offering a first-class vacation experience!

Learn more

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Stelleninformationen

  • Veröffentlichungsdatum:

    01 Nov 2026
  • Standort:

    Rheinmünster
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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