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Lead AI

Qualifications

  • At least 4 years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning.
  • Proficient in Python and SQL (PySpark and programming languages such as Java are a plus).
  • Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others.
  • Experience in developing models for production and business application use.
  • Knowledgeable in or experience with the Fintech/banking industry is a big plus.
  • Basic knowledge in data engineering and ML model lifecycle.
  • Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime).
  • Highly motivated, self‑driven, and willing to work in a team and with advanced technologies in challenging environments.
  • Excellent communication skills in English and the ability to communicate technical tasks to non‑technical people.
  • Good analytical skills and ability to work in an agile environment and learn quickly.
  • Willing to relocate.
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or Mathematics.

See also

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