Data Scientist Data Scientist …

à Varsovie, Voïvodie de Mazovie, Pologne
CDI, Plein-temps
Soyez parmi les premiers à postuler
à Varsovie, Voïvodie de Mazovie, Pologne
CDI, Plein-temps
Soyez parmi les premiers à postuler
Data Scientist
  • Primary Location: Poland,Mazowieckie,Warsaw
  • Education: Bachelor's Degree
  • Job Function: Decision Management
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: No
  • Job ID: 19016261


The Data Scientist will be responsible for collecting, mining and analyzing banking data and solving variety of business challenges via Machine Learning methods.  Business scope of subjects includes: Money Laundering detection, enhancing clients' experience through personalized communication and product offer and optimizing usage of marketing channels (web ads, telesales, electronic communication, Bank's website).

The Data Scientist will be a member of the Business Analysis Team in the Decision Management Department and will be working closely with other banking units. 

Key tasks:
  • Developing Machine Learning solutions including propensity models, clustering, Anti Money Laundering detection systems.
  • Preparation of ad-hoc analyses referring to a vast spectrum of business challenges.
  • Developing/assisting in development of data pipelines. 
  • Performing production accuracy checks and maintaining models.
  • Visualization, presentation of insights and recommendations to business partners.
  • Ensuring development and execution of data-driven strategy.


  • Preferably economics/IT higher education degree.
  • Good  written and spoken English knowledge.
  • Presentation skills.
  • Analytical skills, solid SQL and basic knowledge of Machine Learning algorithms is a must.
  • Good understanding of statistics.
  • Knowledge of Python or  R.
  • 4GL knowledge will be considered an advantage.
  • Knowledge of Hadoop family (Hive, Spark (including PySpark), Kafka, etc.) will be a strong asset.
  • Understanding of banking business. 
  • Experience in data analysis and modelling.
  • Experience in the financial industry not required but is considered an advantage.
  • Experience in data engineering not required but is considered an advantage.

What will you get in return 
  • Opportunity to work in an international environment
  • Cooperation with a high quality team in a challenging area of the financial industry with one of the world's leading companies
  • Excellent working environment
  • Attractive conditions of employment and benefits