Data Scientist – AI & Machine Learning (m/f/diverse)

Our requirements

• 2+ years of experience for Junior/Data Scientist level or 5+ years for Senior level in applied data science or a related area.
• Solid knowledge of statistics, machine learning and model evaluation.
• Strong Python skills and an understanding of software engineering best practices.
• Experience with LLM-based solutions such as prompting, RAG or AI agents.
• Analytical mindset and ability to turn business problems into practical data-driven solutions.
• Strong communication and collaboration skills in an international environment.

Your responsibilities

• Design, build and evaluate ML models and AI agent solutions for real business use cases.
• Work with LLMs, prompting, RAG and agent orchestration.
• Develop production-quality Python code using testing, Git and code review practices.
• Explore and work with data from SAP, Azure and Databricks.
• Use MLflow for experiment tracking and model lifecycle management.
• Work with technologies such as Azure AI Foundry and Airflow.
• Collaborate with platform engineers to bring AI solutions into production.
• Work directly with business stakeholders to understand problems, challenge assumptions and identify the right solution.

Additional information

What we offer

• 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 (rondo Matecznego)
• Hybrid working model & flexible working hours (start work between 6:00 and 10:00 am)
• Possibility to fulfil a dream about far journeys with attractive travel benefits
• Access to LinkedIn Learning online courses, access to online platform with language courses and possibility to take part in trainings prepared by our amazing training team
• Continuous improvement environment
• Supportive & friendly working atmosphere - we work towards a joint success
• Package of benefits like: private medical care, Multisport Card, pre-paid cards and more
• Employee referral program, integration events and charity initiatives

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• flexible working time
• corporate products and services at discounted prices
• integration events
• no dress code
• coffee / tea
• parking space for employees
• leisure zone
• extra social benefits
• pre-paid cards
• sharing the costs of tickets to the movies, theater
• employee referral program
• charity initiatives
• flight privileges
• Santa events for children
• relocation package
• facilities for cyclists (lockers, shower)

Recruitment stages

• 1.
  CV analysis
• 2.
  Phone screening
• 3.
  1st online interview
• 4.
  2nd online interview

Lufthansa Group Business Services Sp. z o.o.