Python Data Scientist - SDLC(h/f)

Summary: The role of Python Data Scientist is designed to enhance the Software Development Life Cycle (SDLC) efficiency within the Finance Data and Analytics team of a global banking client by leveraging AI and data-driven insights. Main Responsibilities: • Developing Python-based data pipelines and automation scripts to optimize data handling and transformation processes. • Applying machine learning models to identify patterns, predict workflow bottlenecks, and recommend process optimizations. • Designing and implementing metrics and analytics dashboards to monitor SDLC performance, adoption, and process efficiency. • Ensuring data quality, compliance, and security throughout the SDLC using AI-assisted validation techniques. • Collaborating with cross-functional teams to scale the framework and enable department-wide adoption of AI-driven automation practices. Key Requirements: • Proficiency in Python programming. • Experience in developing data pipelines. • Solid understanding of machine learning techniques. • Familiarity with data quality and security standards. Nice to Have: • Experience in the finance or banking sector. • Knowledge of AI-assisted validation techniques. • Familiarity with metrics and analytics dashboard design. Other Details: The position operates within a cross-functional team structure focused on enhancing SDLC efficiency, utilizing AI and data analytics technologies.