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.Deg 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.