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Job Description

Required Qualifications:


  • Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
  • Proven experience in machine learning, statistical analysis, and data engineering.
  • Proficiency in Python and SQL.
  • Experience with ETL processes and data pipeline development.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Preferred Qualifications:


  • Experience in the banking or financial sector.
  • Knowledge of recommendation engines, fraud analysis, cross-sell and upsell models, and customer attrition analysis.
  • Proficiency in programming languages such as python.
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).

Tools and Technologies:


  • Python (NumPy, Pandas, Scikit-Learn)
  • SQL (MySQL, PostgreSQL)
  • Cloud platforms (e.g., AWS, Azure, Google Cloud)


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