Perform data analysis, model validation and credit risk analytics using Python and SQL; explore large datasets, support ML model development, ensure data quality, and communicate analytical insights to technical and business stakeholders.
Required Candidate profile
2 to 4 years in Data Science or Credit Risk Analytics with Python, Pandas, NumPy, SQL, Data Analysis and foundational ML skills including Logistic Regression, Decision Trees and Gradient Boosting.
Perks and benefits
Growth opportunities + AI/ML Exposure
📌 Data Science Analyst (India)
🏢 Job Nexus India
📍 India
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