Data Modeler

Sky Systems, Inc. (SkySys); Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Sky Systems, Inc. (SkySys) in Hyderabad is seeking a Data Modeler with 5+ years of experience in statistical modeling, ML, and large-scale data analysis focused on consumer credit risk and underwriting.

You will build and validate predictive models using Python, PySpark, SQL, AWS, and related techniques to support credit decisioning. The ideal candidate has hands-on experience with Logistic Regression, Random Forest, and XGBoost, plus experience in credit lifecycle, lending, and reporting tools

Qualifications

• 5+ years in statistical/quantitative analysis and ML modeling.
• Strong consumer credit risk / underwriting experience.
• Auto industry / auto lending modeling experience strongly preferred.
• Strong Python, PySpark and SQL.
• Experience with large-scale data / Spark / Hadoop.
• Model development, validation and performance monitoring.
• Experience with credit lifecycle, consumer loans or banking.
• Tableau/Power BI experience.

Skills

Statistical modeling

Machine learning

Credit risk / underwriting

Auto lending modeling

Large-scale data analysis

Tools

Python

PySpark

SQL

AWS

Spark

Hadoop

Tableau

Power BI

Job description

Role: Data Modeler

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long term

Work Schedule: 8 hours/day (Mon-Fri)

Location: Hybrid - Onsite 2 days a week in Hyderabad

We are seeking a Data Modeler with 5+ years of experience in statistical modeling, machine learning, and large-scale data analysis, with a strong focus on consumer credit risk and underwriting.

The ideal candidate will have hands-on experience building and validating predictive models using Python, PySpark, SQL, AWS, and techniques such as Logistic Regression, Random Forest, and XGBoost.

Key Requirements:

• 5+ years in statistical/quantitative analysis and ML modeling
• Strong consumer credit risk / underwriting experience
• Auto industry / auto lending modeling experience strongly preferred
• Strong Python, PySpark and SQL
• Experience with large-scale data / Spark / Hadoop
• Model development, validation and performance monitoring
• Experience with credit lifecycle, consumer loans or banking
• Tableau/Power BI experience
• Strong communication skills