Data Scientist - AI & Machine Learning Ref. No: 8615

Lufthansa is the largest airline in Germany and one of the leading airlines in the world.

As the Lufthansa Group Business Services’ employee you will become part of the organization that supports the aviation business. Our teams handle accounting, look after our customers' employees, run procurement processes and take care of IT applications. Everything contributes to a great travel experience for Lufthansa Group customers.

Region: Kraków, małopolskie

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What we are looking for:

• Academic degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related field
• 2+ years of relevant experience in applied data science, including statistics, machine learning fundamentals and model evaluation
• Strong Python skills and an understanding of software engineering best practices
• Experience developing or integrating LLM-based solutions, e.g. prompting, RAG or AI agent orchestration
• Experience analysing data and translating business or technical requirements into practical solutions
• Very good English skills
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts effectively to non-technical stakeholders

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What you will do:

The Data Analytics & AI team develops and operates AI-driven automation and analytics solutions for business stakeholders across Lufthansa Group. We work with modern technologies across the Microsoft Azure ecosystem, Databricks and SAP data, with a strong focus on moving AI/ML solutions from experimentation into reliable, production-ready business applications.

In this role, you will combine data science, machine learning and software engineering. You will work on real business problems, develop and evaluate models and AI agents, and collaborate with business stakeholders and platform engineers to bring solutions into production.

Tasks:

• Design, build and evaluate machine learning models and AI/LLM-based solutions for business use cases
• Develop and evaluate LLM-based agents, including prompting, retrieval strategies and orchestration logic
• Work with MLflow for experiment tracking and model lifecycle management
• Develop production-quality Python code that is modular, tested, documented and version-controlled
• Integrate models and AI agents into existing digital solutions through APIs and modern tool-orchestration approaches
• Apply software engineering best practices, including testing, Git-based workflows and code reviews
• Perform analysis using technologies such as SAP Datasphere/BW, CDS views, Azure and Databricks/Delta
• Collaborate with platform engineering on deployment and operationalization of AI solutions
• Worki with business stakeholders to understand problems, processes and existing architecture
• Translate business needs into data-driven and AI-based solutions

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We offer:

For our employees we offer:

• Hybrid working model (work in the office one day per week)
• Opportunity to work from each part of Poland during remote work
• Flexible working time
• New branded and modern office: 200 adjustable desks, several types of meeting rooms, bike amenities, lounge rooms and chill out spaces, cozy kitchens and excellent public transport in a walking distance
• Continuous improvement environment
• Supportive & friendly working atmosphere - we work towards a joint success

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