Senior Data Scientist / ML Engineer

Description

Job Summary: Data professional with end-to-end Machine Learning experience, seeking to modernize legacy processes and work with large volumes of data. Key Highlights: 1. End-to-end Machine Learning model development 2. Modernization of processes using Python, PySpark, and SQL 3. Working with large volumes of data in distributed environments Responsibilities * Develop scripts and automations in Python / PySpark / SQL to modernize legacy processes (database management, rule engines, and alerting systems), reducing manual effort and increasing traceability. * Develop end\-to\-end Machine Learning models: scoping, exploration, feature engineering, model selection / evaluation / interpretation, production deployment, monitoring, and retraining. * Work with large volumes of data in distributed environments (Spark), focusing on performance and data quality. Requirements: **Requirements** * Proven experience as a Data Scientist and in end‑to‑end AI/ML initiatives, from ideation and scoping through implementation and production operations; * Strong proficiency in Python for Data Science, automation, and pipeline development; * Practical experience with ML pipelines, model/artifact versioning, and reproducibility; * Experience monitoring models and managing drift; * Experience with large-scale data and distributed environments (PySpark); * Intermediate English **Preferred Qualifications** * Prior experience building fraud detection models