Key Skills

Job Description

Farmers– where ambition meets opportunity. Farmers is known for more than its unforgettable jingle – it’s a team with a passion for purpose and making a real difference in people’s lives. Farmers employees deliver peace of mind when it matters most. The organization’s results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on the team. Farmers employees tackle challenges head-on, learn from every experience and measure their impact on the customers who trust them. Join us and help power the success of Farmers. As a team member, you’ll collaborate with Farmers’ award-winning workforce, benefit from a culture of innovation and support and contribute to their mission of delivering protection and peace of mind to millions of U.S. customers. Ready to make your mark? Discover Farmers’ vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate. Job Summary Workplace: MEXICO - Remote ( ) 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. Requirements 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 Essential Job Functions 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 This position offers a competitive compensation and benefits package designed to support your wellbeing, growth, and work–life balance. While specific benefits may vary by country and employee level, offerings generally include competitive salary opportunities, performance-based bonuses, comprehensive benefits, and ongoing training and development resources. Important Hiring Conditions and Disclosures By applying for this position, candidates acknowledge and agree that: Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies. Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated. Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise. Failure to comply with these conditions may impact the hiring decision or employment continuation. About Farmers Insurance "Farmers Insurance®" and "Farmers®" are tradenames for a group of insurers providing insurance for automobiles, homes and small businesses and a wide range of other insurance and financial services products. Farmers Insurance Exchange, the largest of the three primary insurers that make up Farmers Insurance, is recognized as one of the largest U.S. companies on the 2025 Fortune 500 list. For more information about Farmers Insurance, visit Farmers.com. By applying for this position, candidates acknowledge and agree that: Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies. Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated. Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise. Failure to comply with these conditions may impact the hiring decision or employment continuation.

Core Responsibilities

Develop and implement predictive models using advanced statistical and machine learning techniques to drive enterprise decision-making. Partner with business stakeholders to translate needs into analytical solutions and mentor junior team members.

Requirements

Requires a bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. Candidates must have professional experience in predictive analytics or data science, with strong proficiency in Python, R, and SQL.

Benefits

• Competitive salary
• Performance-based bonuses
• Comprehensive benefits
• Training and development resources