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.