Machine Learning Analyst-Python and SQL

Analyze and interpret large, complex internal and external data sets to evaluate and support business strategies focused on customer experience.

Develop data requirements, perform data cleaning and exploratory analysis using Python, SQL, and machine learning techniques to improve customer satisfaction and business outcomes.

Collaborate with cross-functional teams to implement data-driven recommendations, ensuring compliance and risk mitigation in decision-making processes.

Bachelor’s degree with minimum 4 years experience or Master’s degree with 5 years experience in a quantitative or technology-related field.

Strong hands-on experience with Python, SQL, and machine learning; experience with PySpark, NLP, and large language models preferred.

Familiarity with software development practices including version control (Git), automated builds (Jenkins), and SDLC processes; ability to test code in Dev and UAT environments.

Experience or exposure to customer experience analytics and/or credit card business is preferred but not mandatory.

Experienced data analyst/scientist with proficiency in advanced analytics tools, focusing on customer experience in financial services or similar domains.

Demonstrates the ability to manage end-to-end data workflows including deployment, validation, troubleshooting of machine learning models in production.

Comfortable working within matrixed environments collaborating with cross-functional teams to influence business decisions effectively.