Machine Learning Analyst-Python and SQL

Overview

Work as a Spec Analytics Analyst in the North America Consumer Bank Customer Experience Analytics function, monitoring, assessing, analyzing and evaluating processes and data. The role uses data-driven insights to support business strategies and improve customer experience.

What you'll do

• Work with large and complex internal and external data sets to evaluate, recommend and support the implementation of business strategies.
• Identify and compile data sets using tools such as SQL and Access to help predict, improve and measure key business-to-business outcomes.
• Document data requirements and perform data collection, processing, cleaning and exploratory data analysis.
• Utilize statistical models, algorithms and data visualization techniques as needed.
• Monitor, assess, analyze and evaluate processes and data.
• Identify policy gaps and formulate policies.
• Interpret data and make recommendations.
• Research and interpret factual information.
• Identify inconsistencies in data or results, define business issues and formulate recommendations on policies, procedures or practices.
• Assess risk when business decisions are made, comply with applicable laws, rules and regulations, apply sound ethical judgment and escalate, manage and report control issues transparently.
• Write clean, efficient and well-documented code according to design specifications and coding standards.
• Use version control systems such as Git to manage code changes, collaborate with team members and maintain code history.
• Configure and maintain automated build processes such as Jenkins to compile code, run unit tests and create deployable artifacts.
• Execute code testing in Dev and UAT environments.
• Automate deployment pipelines, follow release procedures, verify post-deployment and troubleshoot production issues if any.
• Understand dependencies, design and consume APIs, ensure data flow integrity, resolve integration issues and maintain architectural awareness.
• Validate and maintain deployed models in production.
• Build partnerships with cross-functional teams.

What you'll need

• Bachelor’s Degree with atleast 4 years of working experience or Master’s Degree with 5 years of working experience.
• Hands-on experience in Python, SQL and Machine Learning is a must.
• Analytic ability and problem solving skills.
• Working experience in a quantitative field.
• Excellent communication and interpersonal skills.
• Ability to be organized, detail oriented and adaptive to a matrix work environment.
• Ability to build partnerships with cross-functional teams.

Nice to have

• Experience with PySpark, Natural Language Processing, Large Language Models or Gen AI, and prompt engineering.
• Background in Customer Experience analytics.
• Exposure to the credit card business.
• Familiarity with the Software Development Life Cycle.
• Prior experience of Sprints deployment cycle.
• Bachelors/University degree in Computer Science Engineering or IT.

Details

• Location: Gurugram, Haryana, India.
• Employment type: Full time.