language 13.06.2024, Online location_on 14.06.2024, Palace of Culture and Science, Kinoteka
Top exhibitors, offers not available on job boards, face-to-face meetings and conversations with employers and industry people.
The Data Science Expo is an industry job and services fair that is one of the accompanying events of the Data Science Summit conference. For years it has been a meeting place for employers and service providers (from startups to the largest foreign companies) with people from the Polish Data Science community. Come, regardless of whether you are looking for a job or simply interested in the opportunities the market currently offers.
Want to listen to 100+ interesting, practical presentations and meet other professionals from the community? Attend the conference part of the Data Science Summit ML Edition 2023:
formats: onsite, online and VoD
onsite speeches, live stream online, VoD
employers and service providers present at the Expo
participants of the previous edition
At the event, you will meet employers and service providers from the IT / data science field, who will directly introduce you to the profiles of their organisations and talk about their offers.
Since 2005, we have been supporting the Polish IT / data science community in its development. We are not only the organizer, but also the initiator of many significant events aimed at professionals and students in the industry, such as Warsaw IT Days, Data Science Summit, The Hack Summit, Ya!vaConf, MS Tech Summit, IT Job Fair and many meetups. We also help organize IT and data science conferences for companies / organizations interested in such activities.
Data Science Warsaw is the largest data science community in Poland, based in Warsaw. We are a non-profit organization working on the exchange of ideas and knowledge about data science, data engineering and so-called artificial intelligence. Our goal is to discuss tools, technology and business opportunities related to data collection, processing and visualization, as well as machine learning and deep learning.