Conversation with Żabka Group experts about a career in data science

In today’s world, data science has become a key element driving innovation in almost every industry. In light of this dynamically developing area, a certain set of skills and knowledge is emerging as essential for those who want to shape the future with data. In addition to knowledge of programming languages and data analysis tools, it is equally important to understand and use advanced statistical methods and machine learning.

During the panel discussion, experts from the Żabka Group in the field of analytics and data science provided knowledge about the most important skills and tools needed for effective work in this industry. Participants had the opportunity to learn what the work structure looks like in various teams operating in these areas, and how the process of creating valuable project initiatives takes place.

In a field as rapidly evolving as data science, continuous education and personal development are a must. Staying up to date with the latest data analytics trends, tools and techniques can be a challenge, but it is essential to staying competitive in the job market. Overall, data science requires a combination of technical expertise, analytical skills, soft skills, and a constant willingness to learn.

However, data analysis goes beyond just technique. The ability to interpret the results, draw practical conclusions from them and communicate them to the business is equally important. This requires not only a deep understanding of data, but also the ability to think critically and solve problems. Domain knowledge is also important, allowing for proper understanding of the business and industry context in which the data operates.

We also cannot ignore the importance of teamwork and soft skills such as communication, project management and leadership. In the world of data science, where projects are often interdisciplinary, the ability to work in a group and communicate information effectively becomes essential. Collaboration between data analysts, engineers, and business stakeholders often determines the success of a project.

To sum up, appropriate technical and soft skills and domain knowledge are a guarantee of success in data science. The discussion panel took place on November 13, 2023 at the Poznań University of Economics and Business and was organized by SRG Data Science. The panelists were: Bartosz Kurkowski, Bartłomiej Przybylski, Karolina Wąs.