Lead Earnix developer

Job Title/Role Name Technical Lead(Earnix developer) Experience level 10+ years Location: San Antonio/ Plano, TX
Mode of hire: 6 months C2H (consent required)
Mandatory skills:

• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI

Job description: Key Responsibilities

• Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
• Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
• Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
• Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
• Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
• Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
• Conduct A/B testing and impact analysis for pricing changes and product enhancements.
• Automate recurring analytical and reporting processes where possible.
• Translate business requirements into analytical solutions and technical specifications.
• Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
• Support regulatory and audit requests related to pricing models and data usage.

Required Qualifications

• Bachelor s degree in:
• Data Science
• Statistics
• Mathematics
• Economics
• Computer Science
• Actuarial Science
• Engineering
• Related quantitative field
• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI
• Experience with:
• Regression models
• Classification models
• Forecasting techniques
• Data mining and segmentation