Budapest, Hungary
Data Scientist
Salary: unknownHybridMidData and machine learning
PythonSQLLLMRAGAWSGCPAzurePrototyping
Yext is hiring for the role of Data Scientist. The role is hybrid, based in Budapest, Hungary. Our labels mark it as a mid-level role in data and machine learning. The posting names LLM, RAG, AWS, GCP, Azure and Python. It asks for 3+ years of experience. Yext has 10 open positions on this site, 4 of them in IT and engineering.
Posted today · Last checked 2026-11-04
About Yext
Non-tech company with an IT team 10 open positions, 40% in IT and engineering. Most open roles: Software engineering (general) (4), Finance and legal (3), Strategy, consulting and analysis (2).
Similar jobs
AI Engineer - EU (B2B)Space Inch · Italy | Spain | Portugal | Poland | Romania | HungaryEUR 5,100–6,800 / monthSenior AI & ML Engineer - AML Search QualitySeon · BudapestHUF 22,860.2K–30,928.4K / yearData Engineer TraineeDEPT® · BudapestHybridMedior/Senior AI EngineerSnapSoft Kft. · Budapest, Budapest, HungaryHybridApplied AI Engineer - OperationsAction1 · Spain | Portugal | Poland | Hungary | CzechiaRemoteSenior Data EngineerKeyrock · Brussels | Rome | Barcelona | Zug | Porto | Cape Town | Istanbul | Eindhoven | Geneva | Milan | Amsterdam | Manama | Madrid | London | Dubai | Berlin | Antwerp | Copenhagen | Vienna | Prague | Athens | Budapest | Paris | Frankfurt | Dublin | Warsaw | Sofia | Luxembourg | Remote | Zurich | Abu Dhabi | Lisbon | London | Tallinn | London OR Brussels | Seychelles | Rotterdam | Krakow | Johannesburg | ZagrebRemoteData EngineerElevenLabs · United Kingdom | Spain | Hungary | Bulgaria | Poland | Italy | Netherlands | FranceRemoteEMEA I Analytics EngineerInfinite Lambda · Sofia I Bulgaria | Romania | Hungary | SlovakiaEUR 3,000–6,000 / month
| Workplace | Hybrid |
| Seniority | Mid |
| Role | Data and machine learning |
| Countries | Hungary |
| Languages | PythonSQL |
| Key facts | Stack: Python, SQL, LLM, RAG, AWS, GCP, Azure · Experience: 3+ years |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data