About the project

• The project's goal is providing data on bookings, tickets, routes in the airline industry to improve key areas such as route network planning, scheduling and revenue management using advanced analytics, machine learning modelling and GenAI.

Your responsibilities

• Develop and refine ML models in airline commercial processes to improve airline pricing, route planning, and revenue strategies,
• Re-evaluate and challenge enhance passenger choice models to ensure optimal performance, robustness, and alignment with evolving market dynamics ,
• Contribute to PoC (Proof of Concept) and implementation of GenAI use cases across commercial and admin domains,
• E2E deployment of Data Science project ETLs in Microsoft Azure environment,
• Collaborate with business units and ensure close communication with Business end users by translating analytical findings into impactful commercial strategies,
• Support machine learning and statistical model deployment, ensuring seamless integration into operational systems,
• Conduct in-depth data analysis on airline revenue management, pricing strategies and customer segmentation,
• Present actionable insights through compelling reports, data visualizations and presentations to leadership,
• Preparing documentation of the particular steps and the final product.

Our requirements

• 3–5 years of industry experience applying advanced analytics techniques in a heavy operation industry,
• Strong analytical and problem-solving skills, with experience in Classical ML methods and discrete choice modeling,
• Proficient in Python and machine learning libraries, with strong experience using Databricks for scalable analytics,
• Experience with statistical methods, decision analytics, and revenue optimization,
• Intermediate understanding of Large Language Models (LLMs) and Generative AI, with practical exposure to their application in enhancing analytics workflows or decision support systems,
• A data scientist mindset with a strong sense of curiosity—actively seeks the meaning behind data patterns and continuously explores opportunities to align data science solutions with business processes and strategic goals,
• A strategic mindset, capable of transforming complex datasets into actionable insights,
• Strong communication skills, with the ability to translate complex data insights into clear, actionable recommendations for stakeholders across various business functions,
• Ability to collaborate effectively in a fast-paced, cross-functional team environment,
• Familiarity with SQL, database management and Microsoft Azure Environment is an advantage,
• Good knowledge of English in speaking and writing (B2/C1),
• working 2 days per week in Gdańsk office.

Optional

• Demonstrated expertise in passenger choice modeling development is a significant advantage,
• Knowledge about Agile/Scrum methodologies.

Technologies we use

What we offer

• An international working environment, atmosphere that stimulates development,

• Individual career path,

• Employment contract,

• Lufthansa Group membership benefits,

• Flexible working time and place adjusted to employee’s needs. Possibility of starting your workday between 07:00 and 11:00,

• Support for your passion for sports within the local activity group and co-financing Multisport cards,

• Private medical care for employees and their family members.