Predictive Analytics Manager I

Farmers Insurance

. Develop and implement predictive models using advanced statistical and machine learning techniques, including regression, clustering, decision trees, and neural networks .

Posted 9/22/2026full-timeRemote • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling and machine learning techniques, with a strong ability to translate complex data into actionable insights. Proficient in data preparation, statistical analysis, and collaboration within cross-functional teams, particularly in the insurance analytics domain.

Highest-signal resume keywords

Predictive ModelingMachine Learning TechniquesPython ProgrammingStatistical AnalysisData Preparation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive AnalyticsData ScienceRegressionClusteringDecision TreesNeural NetworksFeature EngineeringData MiningSQLSAS

Soft Skills

Excellent CommunicationProblem-Solving MindsetCollaborative ApproachMentoringAbility to Present Findings

Tools & Technologies

PythonRSQLSAS

Industry Keywords

Insurance AnalyticsData EcosystemsData QualityData MigrationData Transformation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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, including 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

Requirements

What you’ll need

Experience in predictive analytics, data science, or a related field
Bachelor’s degree in Mathematics, Statistics, Computer Science, or a 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 employment sponsorship unless explicitly stated

Benefits

Comp & perks

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