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About
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
- 5+ years of experience in Data Science, Analytics, or a related role
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.)
- Hands‑on experience with PySpark / Spark for large‑scale data processing
- Solid understanding of Financial Crime domains including: Customer risk and suspicious activity patterns
- Experience building and validating machine learning models (supervised & unsupervised)
- Strong knowledge of data preprocessing, xcfaprz feature engineering, and model evaluation
- Ability to communicate complex analytical findings to non‑technical stakeholders
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Languages
- English
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