Condor – passion is our compass! And that's more than just a claim, it's our DNA: As Germany's most popular vacation airline, we take our guests to the world's most beautiful vacation destinations. Every year, over nine million passengers fly with Condor aboard our more than 50 aircraft to around 90 destinations in Europe, Africa and North America. From the fall of 2022, Condor will be the German launch customer for new long-haul Airbus A330neo aircraft of the latest generation, which, thanks to state-of-the-art technology, is the European leader in fuel consumption of 2.1 liters per passenger per 100 kilometers while offering the highest level of customer comfort. Our more than 4,000 employees on the ground and in the air give their best every day with passion, dedication and know-how and are writing the next chapters in our 66-year history. We are ready for take-off! Are you too? Become part of the Condor family now and apply for a job with us!
Working Student (all genders) Machine Learning / Data Science
- You will support in developing analytics solutions for a broad range of e-commerce topics, such as personalization and segmentation, forecasting, media mix modeling, and many more
- You will be involved in the development process from data acquisition to the development of algorithms up to their deployment and monitoring
- Furthermore, you will improve existing machine learning models
- Also, you will conduct data analyses and derive insights based on proper statistical methods
- Enrolled in advanced full-time studies in the field of computer science, statistics or a similar domain
- Very good English skills (written and spoken) are mandatory
- Solid basics in statistics, including distributions, hypothesis tests, correlation, etc.
- Basic understanding of machine learning algorithms and concepts
- Knowledge of data analysis and visualization with Python
- Familiarity with data science libraries and frameworks (e.g., NumPy, Pandas, Scikit-Learn)
- Familiarity with deep learning and libraries (e.g., Keras, PyTorch) is advantageous
- First experience with self-supervised learning and Large Language Models (LLMs) as well as experience with Git, unit testing and command line interface operations are a plus
- Atmosphere – through a friendly and motivated team and flat hierarchies
- Excitement – through an interesting and varied job in a fascinating industry
- Further development – through competent induction as well as training and development opportunities
- Benefits – through attractive travel discounts and social benefits in addition to industry-standard compensation
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