Data Science Analyst

• Very good knowledge of machine learning and statistics.
• Practical and fluent knowledge of Python and its ecosystem (e.g., numpy, scipy, pandas, matplotlib, scikit-learn).
• Advanced SQL skills.
• Ability to define business problems and translate them into precise analytical solutions.
• Excellent interpersonal skills and ability to clearly present complex results.
• Completed bachelor's degree in a relevant field.

Nice to have:

• Experience with Java or Scala.
• Knowledge of Big Data technologies: Hadoop and Apache Spark.
• Basic skills in DevOps and Linux system administration.
• Interest in the banking and financial sector, with experience in financial products being a plus.

• Creating models and analyzing data for projects including process mining, churn analysis, fraud prevention, and NLP.
• Understanding business problems and translating them into precise analytical solutions.
• Finding and utilizing data within the organization and externally.
• Presenting product vision and engaging business partners in product creation.