Time Series Data Scientist (AI Focus) in Bratislava

We’re a small, agile team within Deutsche Telekom, building high-demand Data Science solutions for internal clients. As we grow, we’re looking for tech talent who can think independently, deliver fast, and bring creative ideas while leveraging existing solutions.

You’ll collaborate daily with an international team across Germany, Slovakia, Romania, and India in a fully connected, remote-friendly environment.Apply and find out more about us and our Digi department and join our team in Košice or Bratislava!

What will be your key responsibilities:

Daily Tasks:

• End-to-end delivery of data science projects (from requirements to production)
• Applying machine learning to deliver business insights for internal clients
• Designing models, training pipelines, and improving processes (Finance, HR, Procurement)
• Developing and deploying solutions in Python
• Collaborating with business stakeholders and explaining results
• Driving innovation in time series and ML use cases


We work in a HYBRID STYLE of working with an unlimited home office, but twice a week we meet in the office (Bratislava or Košice) for meetings.


The published salary is the minimum possible offer. The starting salary may be higher depending on the extent of fulfillment of the employee's requirements (education, language skills, required practice, personality assumptions and skills).


What experience should you have:

• 5+ years of experience in Data Science (time series preferred)
• Strong expertise in time series modelling (forecasting, anomaly detection)
• Advanced Python for ML (clean code, APIs, testing basics)
• Basic SQL knowledge
• Experience mentoring junior team members
• Proactive, analytical mindset with ability to deliver solutions independently
• Strong communication skills (incl. explaining to business)
• English fluent (German is a plus)

What do you get in return:

  • Annual bonus
  • Fully paid meal vouchers
  • Phone also for private use
  • Discounts for selected Telekom products
  • Supplementary pension saving contribution
  • Cafeteria system of benefits/Multisport card
  • Sick days
  • Sports club & Health days
  • Teambuildings, summer & Christmas party
  • Opportunities for career growth
  • Referral program
  • Flexible working time
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