Machine Learning Analyst-Python and SQL
Citi (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 18–28 LPA
Posted 6h ago
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Job description
Structured overview of role & requirements
About This Role
- Work with large and complex internal and external data sets to evaluate and support business strategies aiming to improve customer experience and key business outcomes.
- Document data requirements, perform data cleaning and exploratory analysis using statistical models, machine learning, and data visualization techniques.
- Develop, test, deploy, and maintain data science solutions including Python and SQL code following SDLC and automation processes, with responsibility for production model validation.
Minimum Requirements
- Bachelor’s degree (preferably in Computer Science/IT) with at least 4 years of work experience OR Master’s degree with 5 years experience.
- Mandatory technical skills: Python, SQL, and Machine Learning; experience with PySpark, NLP, and large language models preferred.
- Experience with data processing, software development lifecycle (SDLC), and deployment processes including version control and automation.
- Work Experience Required: 4-5 years as specified; Exposure to Customer Experience analytics or credit card domain preferred but not mandatory.
Ideal Candidate Profile
- Experienced in handling and analyzing large, complex datasets with a focus on improving customer experience in financial services.
- Able to apply machine learning and data science techniques with practical experience in model deployment and maintenance within production environments.
- Familiar with agile development practices including sprints, and comfortable collaborating within matrix organizational structures.