Raiffeisen Bank Zrt. logo

DATA SCIENTIST

Állás részletei

  • Cég neve

    Raiffeisen Bank Zrt.

  • Munkavégzés helye

    Budapest

  • Egyéb juttatások

    • Cafeteria
    • Munkába járás támogatás
    • Egészségbiztosítás
  • Munka típusa

    • Teljes munkaidő
    • Home office
    • Általános munkarend
  • Tech stack

    • ANALYTICS CLOUD PYTHON R SQL MACHINE LEARNING
  • Elvárások

    • Angol középfok
    • 1-3 év tapasztalat
    • Főiskola
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Állás leírása

Raiffeisen Bank Zrt.
Would you like to work in a young and dynamic international team united around data and customer centricity? Are you passionate about creative approaches and advanced technologies with data, which plays the most important role in a modern bank? Are you ready to shape the future of the financial industry within Central and Eastern Europe? Then you are the right person for our team!
Raiffeisen Bank Hungary hosts a Data Science Center of Excellence in Budapest to drive analytical transformation on international level for entire Raiffeisen Group. We are looking for ambitious candidates who will support us in our productive environment to:
•    Drive the scaling of new banking solutions with the help of data science
•    Be the mastermind in practical application of machine learning solutions using state-of-the-art technology
•    Contribute to RBI Group transformation into a data-driven company & the most recommended financial institute
You will be part of our adaptive set-up where data engineers, data scientists, as well as colleagues from IT and business experts internationally work together on use cases.

DATA SCIENTIST

MI LESZ A FELADATOD?

•    Execute a wide range of use cases jointly with other Data Scientists
•    Actively involve yourself in preparing and manipulating data together with dedicated Data Engineers
•    Predict customer behavior, conversion probabilities, churn rates, define target groups, support top-notch customer experience by the usage of Machine Learning & Advanced Analytics
•    Work with the state-of-the-art cloud infrastructure (end-2-end data science framework on Databricks)
•    Translate data analysis findings and research results into business insights
•    Visualize and report data findings creatively in a variety of visual formats
•    Selection of research directions based on business ideas
•    Help business understand outputs of ML models and successfully incorporate them in real-life processes
•    Creation of model documentation

MIÉRT ÉRDEMES VELÜNK DOLGOZNI?

  • You’ll work both locally and in an international analytics team at a leading bank
  • Be part of a huge international community of Data Scientist sharing learnings, best practices, use cases regularly
  • Data science courses provided by the group
  • Flexible Home Office opportunity (up to 80%)
  • You can choose from 16 types of Cafeteria benefits: SZÉP card, extra day off, commuting support, health insurance, tickets to cultural events and sports events,
  • We provide housing loan support, an employee account package
  • A modern working environment, dining rooms and cafes await you
  • As part of a well-being program, we pay attention to the physical and mental health of our colleagues

CSATLAKOZZ HOZZÁNK, HA...

•    You obtained your university degree in one of the following majors: mathematics, statistics, physics, computer science, business intelligence, data analytics, quantitative finance, quantitative economics
•    Proven experience as a data scientist (3+ years); experience in financial industry is a plus
•    You have profound understanding of statistical inference and machine learning techniques (e.g. regressions, decisions trees, cluster analysis, neural networks), their pros and cons
•    You come with good scripting skills (Python, R) and knowledge of the most popular machine learning libraries
•    You have extensive experience in data gathering & manipulation (e.g., querying, aggregating and filtering data using SQL, writing PySpark codes)
•    You like to explore, hands-on mentality is appreciated
•    You are a communicative person with the ability to work collaboratively as a team player with people at all levels
•    You can communicate complex ideas effectively and you can stand and deliver criticism in pragmatic manner
•    You are fluent in English, both spoken and written

Sector(s):

  • IT Development
  • Database Expert

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