Technical Lead- Earnix developer

Job Title: Technical Lead (Earnix developer)

Job Location: San Antonio/ Plano, TX (Onsite from day one)

Job Duration: 12+ months

Minimum years of experience required: 10+ years

Type of Hire: c2h

JOB DETAILS:
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

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