Driblab aspires to be an organisation that reflects the globally diverse audience that our products and technology serve. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas and cultures leads to the creation of better products and services.
Driblab’s team aspires to develop the next-generation of products that change how millions of users perceive the professionals sports world and how decision-making is made. Our products need to handle information at massive scale, and extend well beyond infographics. We’re looking for new talent who bring fresh ideas from all areas, including information presentation, infographics, large-scale system design, data storage, artificial intelligence; the list goes on and is growing every day. As a Data Science Intern, you will work on a variety of specific projects critical to Driblab’s needs with opportunities to create new projects, pitch new ideas to the board as you and our fast-paced business grow and evolve. We need our employees to be versatile, display leadership qualities and be enthusiastic to take on new problems across the whole spectrum as we continue to push innovation forward.
Driblab is and always will be an innovation company. We hire people with a broad set of technical and social skills who are ready to take on some of sports greatest challenges and make an impact on all of our clients and potential clients. At Driblab, employees not only revolutionise the sports world, they routinely work on massive scalability and innovative solutions, large-scale applications and entirely new platforms for scouts, coaches, Presidents and sports professionals around the world. The Data Science Intern will report directly to the Head of Technology.
The position is based in our Offices in Madrid (near Puerta de Toledo), where you will collaborate with our experienced team using both Python and Machine Learning Technologies, as well as SQL tools. You will directly develop and extend our product with new features from day one as well as contribute to the improvement of current features with new ideas.