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Salary
≈ $31k – $82k per year (Estimated)
Location
In office (Törökbálint)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
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Yettel Hungary is a Hungarian mobile telecommunications operator, formerly known as Telenor Hungary, providing mobile, internet and digital services to consumers and businesses. Its digital business unit builds data and AI capabilities and hires AI engineers, data scientists, cloud data engineers and product managers. The company is headquartered in Törökbálint, Hungary.

We are looking for you if you want to work at one of Hungary's leading telecommunications companies to help our clients navigate the digital world. Take the first step, bring your inspiring ideas and join our supportive and professional Data Science team.

Be curious and responsible, work passionately and be open to development. Let’s reach our goals together, because at Yettel you can inspire true change while being yourself. Who are we? More than 1,800 colleagues working at nearly 130 locations across the country forming one big team and enjoying an unlimited experience. We have a lime heart and Yettel enables us to make our dreams come true.

Join Yettel Hungary as Senior Data Scientist, be yourself and make a difference in the world.

You’ll feel at home in the Yettel team if you enjoy working collaboratively, take ownership of your work, think in a data-driven way, have a proactive mindset, and treat everyone with respect. At Yettel, we are relentlessly working to reshape the telco industry, which is why it’s important to us that you use AI tools at least at a basic level and confidently integrate them into your day-to-day work to become even more effective.

Discover the opportunities offered by Yettel.

  • #FlexibleWorking: We work in the nature-friendly and innovative Yettel House, and during the summer, the Garden Office is also available to us. In addition, we offer the possibility of working from home, with the number of home office days varying by department; in this role this is 10 days per month.
  • #Health: We provide our colleagues with collective life and health insurance, paternity leave, and free advice in the areas of lifestyle, psychology, law and finance. Our office gym and saunas also await our employees.
  • #Technology: It is natural that you will receive a company smartphone with unlimited internet, and we even offer discounted rates for your family and friends.
  • #Learning: Trainings, courses and an online platform are also available so that you never stop developing! Our goal is to support you throughout your personal and professional career, while you are constantly learning new things!
  • #YettelHQ: Our headquarter at Törökbálint is one of the most unique office buildings in the country, with a panoramic terrace, an outdoor sports field and an alternative garden office.
  • #YettelBus: You can also get to Törökbálint with Yettel's buses, which are available to everyone. You don’t need to show any documents when boarding. These buses leave from several stations in the city: Népliget, Kelenföld, as well as Déli pályaudvar stations, and you can recognize them by the "Yettel bus - Yettel" sign on the front of the vehicles.

You are the ideal candidate for our team if you have/are:

  • BSc or MSc of Economics, Technology, Natural or Social Sciences.
  • Routine in handling large volumes of enterprise data.
  • Advanced use of data science tools, with Python and SQL as a must have, and MLflow, Spark as a plus.
  • At least 4-5 years of experience in a data science, advanced analytics or machine learning engineer role.
  • Experience working in a cloud environment, with knowledge of AWS, Sagemaker and Bedrock is a plus.
  • Thorough understanding of statistics, machine learning and data modelling.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Proficient level of English.
  • Experience working in a consumer setting and marketing is a plus. 

Requirements

  • BSc/ MSc
  • Python
  • SQL
  • Data science
  • Machine learning engineer
  • Cloud
  • AWS
  • Data modelling
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