Description

You will develop and deploy machine learning models to drive business analytics and decision-making.

Responsibilities

• Build, validate, and monitor predictive models using regression, classification, and segmentation techniques.
• Process large, complex, and unstructured datasets using Python, SQL, and PySpark.
• Translate business requirements into data-driven solutions through exploratory data analysis and statistical modeling.
• Create interactive visualizations and dashboards using Tableau to communicate insights to technical and non-technical stakeholders.
• Ensure model governance, compliance, and documentation of methodologies and performance metrics.

Required Skills

• 5-8 years of experience in data science or machine learning roles.
• Strong proficiency in Python and SQL for data analysis and model development.
• Hands-on experience building, deploying, and monitoring ML models in production.
• Knowledge of Large Language Models (LLMs) and AI/ML techniques.
• Experience with data visualization tools, specifically Tableau.
• Exposure to PySpark, SAS, or R for big data processing.
• Strong understanding of statistics and predictive modeling fundamentals.

Preferred Skills

• Experience in banking or financial analytics domains.

Key Skills

Education

Any Graduate