Predictive Analytics Manager I

• Develop and implement predictive models using advanced statistical and machine learning techniques, including regression, clustering, decision trees, and neural networks
• Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability
• Partner with business stakeholders to understand needs, translate them into analytical solutions, and communicate actionable insights clearly
• Present analytical findings to non-technical audiences, explaining methodologies, data sources, and business impact
• Explore, prepare, and structure large internal and external datasets to support model development and enhancement
• Contribute to the design and continuous improvement of modeling frameworks, processes, and best practices
• Ensure data quality and model integrity through rigorous validation and review processes
• Develop understanding of the data landscape, including sourcing, mapping, and integrating data across systems
• Support enterprise data initiatives such as data migration and transformation programs
• Collaborate with and mentor junior analysts, sharing knowledge and promoting best practices
• Stay current on industry trends, particularly within insurance analytics and predictive modeling

• Experience in predictive analytics, data science, or a related field
• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field
• Professional experience in insurance or pricing analytics is a strong plus
• Strong experience with Python, R, and SQL
• Experience with SAS is a plus
• Advanced knowledge of predictive modeling and machine learning techniques
• Advanced knowledge of statistical analysis and data mining
• Advanced knowledge of data preparation and feature engineering
• Strong understanding of data ecosystems and ability to navigate complex data environments
• Ability to translate complex data into clear, actionable insights
• Excellent communication skills, with the ability to present analytical findings to diverse audiences
• Problem-solving mindset with the ability to work independently in a fast-evolving environment
• Experience contributing to or building analytics capabilities from scratch is highly valued
• Collaborative and proactive approach, with a willingness to share knowledge and mentor others
• Experience working with cross-functional teams in data-driven environments
• Valid, local legal authorization to work in Mexico at the time of hire
• No parallel employment, professional activities, or paid work for other entities during employment
• Disclosure and formal review of ownership, partnership, directorship, or participation in other businesses or companies

• Competitive salary opportunities
• Performance-based bonuses
• Comprehensive benefits
• Ongoing training and development resources