No matter the role you are applying for within TUI, just be yourself and bring your personality with you. We take a large cross section of the social community and of customers on holiday so equally its important that our colleagues and you feel comfortable in liaising and interacting with them. When I started in the role it was very different, where each crew member was like another but over the years and the transformation of TUI we have learnt that being different and unique is why our customers keep booking with us. Bringing you personality means you can interact in a way that customers enjoy, being respectful and professional does not mean you cant build a rapport and enjoy your working day with us. These skills will also enhance as you progress through your career with TUI, with each role allowing you to explore more about the differences we can make to our colleagues and customers.

I think you should be aware that communication and presentation skills, motivation and the will to grow and further develop your abilities are not only buzzwords but skills that are often underestimated but quite relevant for the work of a Data Scientist. I often have to explain and present the approaches I used and the results I obtained on various levels of granularity to different audiences. For example, when discussing with other data scientists in the company I need to be able to explain how a method works in detail. In contrast to that I have to focus on the business implications of my modeling choices when talking to the business colleagues or to managers. For the latter audience it is usually more relevant to understand the general idea of an approach rather than the details of how it is working. It is not easy to switch between these settings and to find a proper way of communicating to each of these different kinds of audiences but keep in mind that this will be a relevant part of your work as a Data Scientist. Additionally, lifelong learning is not only a buzzword at TUI. You should be motivated to actually stay up to date with the current state of the art Machine Learning procedures and bring motivation and initiative to continue your learning process. As a team, we are deeply involved in decisions that concern the way we work and the tools we use. Therefore, we have to keep track of new developments in the world of Data Science and Machine Learning and need to be willing to adopt new methods or tools if we expect them to be useful for our daily work.

Teams are made of people, not systems. I think this is self explanatory.