Together we make an impact!

OTP Bank is one of the leading banking groups in Central and Eastern Europe. As one of Hungary’s largest employers, we offer a stable, innovative environment where data driven solutions shape the future of our retail business.

We count on you in these tasks:

• Translate business problems into data driven solutions and measurable hypotheses
• Collect, clean, and prepare data from multiple sources
• Build, validate, and document machine learning and statistical models
• Develop and improve product affinity, campaign effectiveness, and customer behavior models
• Collaborate closely with business analysts, controllers, and data engineering/MLOps teams
• Share insights clearly with both technical and non technical stakeholders

You're welcome to apply if you have:

• Solid, hands on Python skills (pandas, numpy, scikit learn; writing clean, structured code) — required
• 1–2 years of experience in analytics / data science (projects or internships also count)
• University degree (completed) in a quantitative field (Mathematics, Physics, Computer/Data Science, Econometrics, Engineering, Finance, etc.)
• Analytical, systematic problem solving and strong communication skills
• Openness to learn modern DS/ML and MLOps practices
• Hungarian and English (minimum B2)

You start with advantage if you have:

• SQL and/or Spark; experience with data pipelines
• Version control and CI/CD/MLOps tooling (Git, Jenkins, Docker, OpenShift, Airflow)
• Cloud or big data platforms (Azure, Cloudera, HDFS, Cassandra)
• Clean code, OOP, unit testing; FastAPI or similar for model serving

Why it is good to join us:

• Hungary's largest financial player provides you with predictability, stability, and development opportunities
• Continuous learning opportunity through involvement in different market situations
• As an innovative employer, we offer a comprehensive training system, career opportunities, and support in your professional development
• We offer competitive benefit and cafeteria package
• We provide a private health insurance service package and support your health fund and voluntary pension savings
• We offer numerous employee discounts (e.g., for mobile phones, loans, bank accounts, vacations)
• Hybrid work