J o b O p e n i n g s

We are looking for colleagues with the following skills profile:

  • Advanced degree with solid academic achievements in a field linked to computer science, applied mathematics, statistics, machine learning, or related data centric areas
  • On job experience (industry or consulting), preferable in dialogue management
  • Deep technical knowledge - Experience in
    • core analytics methods (e.g. Machine Learning, Optimization, Deep Learning...)
    • applied analytics for business problem solving/experience building analytical solutions, familiar with a broad base of analytics tools (Data management, Analytics platforms - R, Data Visualization – e.g. Tableau, Programming – e.g. Python, etc.)
  • Strong passion for data science topics
  • Excellent analytical skills and strategic thinking, creative problem solver
  • Strong interpersonal credibility, reliability, and service mentality, high ethical standards
  • Excellent written and verbal communication skills in English and/or German.

What we offer: 

  • Immense data sets in e.g. network statistics and customer care & sales: a true treasure trove for the seasoned data scientist
  • Improving data clusters that become even better in the future: looking at our current transformation to ALL-IP networks and the advent of IoT and e.g. smart city, -car and -energy scenarios
  • Constantly enhancing real-time feedback systems
  • Internationality: footprint of over ten national operating companies (which each their own dynamics), we have excellent partnerships with global technology leadership companies & startups and our own T-Labs and HUB:Raum incubator environments.
  • A great team and very modern working environment (see eLIZA Manifesto and Working for Deutsche Telekom)

To see all current job openings in the field of Artifical Intelligence, visit Telekom Jobbörse


your browser is not up to date
to enjoy this website you will need to install a modern browser.
we recommend to update your browser and to install the latest version.

iOS users, please male sure you're running at least iOS 9.

Mozilla Firefox Google Chrome Microsoft Edge Internet Explorer