Technical Lead (Earnix developer)

Role: Earnix developer

Location: San Antonio/ Plano TX

Mode of hire: 6 months C2H

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

Bachelors 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

Thanks & Regards

Srinivas Mula

Yochana IT Solutions INC