Hybrid job

Hybrid

Data Scientist (AI & Decision Intelligence)

Eurowings Holidays GmbH

Source: PersonioLocation: Köln · GermanyPublished: Oct 01, 2026Confirmed active: Oct 24, 2026
Full-timeTechnology

Key points from the posting

Tech stack
Machine LearningGenAILLMPythonRAzureDatabricks
Seniority:
Senior
Languages:
English

Automatically extracted

Our assessment

  • 1 more open role from this employer in our index.

Automated assessment by nomado24, not an employer statement.

Job 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

Inclusivity

All genders

Workplace type

Hybrid

Apply now!

Please submit the latest version of your resume in English.

Data & BIFull Time Employee (Business)permanent

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