Senior Data Scientist / Data Analyst

About the project

Join us as a Data Analyst / Data Scientist in the Data Delivery commercial domain of the airline industry, where you'll apply data analysis, advanced analytics and GenAI — spanning everything from data quality verification and BI development in Tableau/Power BI to machine learning modeling to enhance key areas such as network planning, scheduling, and revenue management. Your expertise will be instrumental in driving commercial efficiency, refining strategic decisions, and maximizing profitability through data-driven insights.

Who are you?

We are looking for a Data Scientist who combines strong analytical capabilities with business curiosity and a passion for solving real-world challenges.

• 3+ years of professional experience in Data Science, Advanced Analytics, or a related field.

• Strong hands-on experience with Python and SQL.

• Practical experience building and validating machine learning models.

• Experience working with data visualization and reporting tools such as Tableau or Power BI.

• Experience working with Databricks or similar modern analytics platforms.

• Strong analytical thinking and problem-solving skills.

• Experience translating complex data into actionable business recommendations.

• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.

• Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

• Good command of English (B2/C1).

• Availability to work in a hybrid model – 2 days per week in our Gdańsk office.

What do we welcome?

• Experience with airline, transportation, logistics, or revenue management domains.

• Experience working with Microsoft Azure or Google Cloud Platform.

• Knowledge of Generative AI and Large Language Models, including practical business applications.

• Familiarity with MLOps, model deployment, and production environments.

Why do we need you?

In this role, you will be responsible for:

• Develop and enhance machine learning models supporting commercial airline processes, including pricing, demand forecasting, customer behavior analysis, and revenue optimization.

• Analyze complex business challenges and translate them into analytical solutions with measurable business impact.

• Evaluate and improve existing analytical and predictive models to ensure robustness, accuracy, and business relevance.

• Explore and implement Generative AI use cases that enhance decision-making and business processes.

• Conduct advanced data analysis and identify opportunities for process optimization, customer insights, and revenue growth.

• Collaborate closely with business stakeholders, helping them understand data-driven opportunities and translating business needs into analytical solutions.

• Contribute to the development of data products, from concept and proof of value through implementation and adoption.

• Communicate findings and recommendations through dashboards, reports, presentations, and workshops.

• Support the deployment and operationalization of analytical solutions within the Azure and Databricks ecosystem.

What do we offer?

• Work on a cutting-edge integration platform in a cloud-native environment.

• An international working environment with a culture that fosters development.

• Individual career path and opportunities for professional growth.

• Employment contract, salary in the range of 12 000 - 22 000 zł gross for senior level​

• 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.

• Life insurance.

• Parking space for employees.

• Extra social benefits.

• Holiday funds.

• Sharing the costs of holidays for kids.

• Sharing the commuting costs.

• Modern office in Oliwa – great location and comfortable workspace.