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Eurowings Holidays GmbH

Data Scientist (AI & Decision Intelligence)

Eurowings Holidays GmbH Baden-Baden, Baden-Württemberg, Germany

Travel Arrangements · 51-200 employees

1 h ago
data-scientist Senior (5-10 yrs) Full-time Germany
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About the role

Design, build, and deploy end-to-end Machine Learning and AI solutions to enhance business decision-making. Collaborate with cross-functional teams including Commercial, CRM, Finance, and Operations to transform business questions into actionable analytical frameworks.

What they look for

Python R Machine Learning Statistics Azure Databricks GenAI LLM Data Engineering Causal Inference Stakeholder Management Communication Critical Thinking Adaptability Cloud Platforms Model Deployment

Requirements

Requires 5+ years of Data Science experience with strong proficiency in Python or R and cloud platforms like Azure or Databricks. Candidates must have experience in deploying production models and possess strong skills in statistics, causal inference, and data engineering.

Benefits

Inclusivity

Full description

Job overview

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

  • 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. 

What you'll need

  • 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).

What you'll bring

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

Inclusivity

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Please submit the latest version of your resume in English.

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