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 (incl. channel optimization, NBO)
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
0–3 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

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