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Senior Data Scientist

Raiffeisen banka a.d.


Do you want to work in a young and dynamic team united around data and customer centricity? Are you passionate to apply Data Science techniques and methodologies for solving real business challenges? Are you ready to shape the future of the financial industry by using advanced technologies? Then you are the right person for our team!

Having a strong customer recognition and being a digital leader on the market, Raiffeisenbank a.d. is seeking to extend its Advanced Analytics Team to drive analytical transformation of the Bank. We are looking for ambitious candidates who will support us in our productive environment to:

  • Drive development and productionalization 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 the bank adoption of data-driven culture & becoming the most recommended financial institute

You will be part of our adaptive set-up where data scientists, colleagues from IT, as well as business experts work together on use cases.

What your job will look like:

  • Execute a wide range of use cases across various businesses and stakeholders
  • Actively involve yourself in preparing / manipulating data together with IT
  • 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 and on-premise infrastructure (e.g. AWS, Dockers, GitLab)
  • Translate data analysis findings and research results into concrete business insights
  • Visualize and report data findings creatively in a variety of visual formats
  • Help business understand outputs of ML models and successfully incorporate them in real-life processes

What you bring to the table:

  • You have a BSc in Statistics, Mathematics, Computer Science or similar field
  • 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 have the ability to communicate complex ideas effectively and you can stand and deliver criticism in pragmatic manner
  • You are fluent in English, spoken and written

What we offer:

  • You’ll work in a young and agile team at a leading banking group
  • You’ll benefit from the tailored professional development
  • You’ll earn a competitive salary

If you are interested in joining our dynamic team, please apply electronically.

Posao Data Warehouse / Business Intelligence Developer (23 oglasa)

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