[Hiring] Predictive Analytics Manager @Farmers Insurance

Role Description

We are looking for a Predictive Analytics Manager to join a newly established, high-impact team focused on transforming enterprise decision-making. This team is at the forefront of delivering timely, accurate, and forward-looking financial and operational insights by combining advanced analytics, actuarial concepts, automation, and AI-enabled capabilities.

In this role, you will help build predictive analytics capabilities from the ground up in a fast-paced, “startup-like” environment within a large organization. You will play a key role in designing and implementing data-driven solutions that drive profitable growth, improve operational efficiency, and strengthen business intelligence across the enterprise.

This is an excellent opportunity for a data-driven professional who enjoys autonomy, thrives in ambiguous environments, and wants to influence how analytics is built and scaled.

Qualifications

• Years of experience in predictive analytics, data science, or 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
• Statistical analysis and data mining
• 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

Requirements

• Develop and implement predictive models using advanced statistical and machine learning techniques (e.g., regression, clustering, decision trees, 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 datasets (internal and external) 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 a strong understanding of the data landscape, including sourcing, mapping, and integrating data across systems
• Support enterprise data initiatives (e.g., 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

Benefits

• Competitive compensation and benefits package designed to support your wellbeing, growth, and work–life balance
• Competitive salary opportunities
• Performance-based bonuses
• Comprehensive benefits
• Ongoing training and development resources