FBS (Mexico) - Data Scientist

Farmers Insurance; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Performance-based bonuses

Comprehensive benefits

Training and development resources

Job summary

Farmers Insurance is seeking a Data Scientist to develop predictive models, analytics solutions and actionable insights that improve customer retention and agent performance. You’ll partner with stakeholders to identify opportunities and translate objectives into measurable outcomes.

The ideal candidate blends machine learning, statistics, Python and SQL with the ability to communicate complex results to non-technical audiences and influence business decisions.

Qualifications

• Bachelor’s or master’s in a quantitative field.
• 3+ years in data science or analytics.
• Strong Python and SQL skills with production experience.
• English fluency and ability to explain insights.

Responsibilities

• Develop and deploy predictive and prescriptive analytics models.
• Apply ML, statistics and data mining to business problems.
• Analyze large datasets for trends and actionable insights.
• Design and maintain scalable, production analytics solutions.
• Collaborate with stakeholders to translate objectives into metrics.
• Work with Data Engineering, IT, and Analytics teams on deployment.
• Follow ML Ops practices and document code and models.
• Present findings to technical and non-technical audiences.
• Support customer retention, servicing and operational performance.
• Mentor junior team members and share best practices.

Skills

Python

SQL

GitHub

Microsoft Office

Databricks

Machine Learning

Statistics

English fluency

Education

Bachelor's degree in Data Science / Stats / CS

Tools

Databricks

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 usand 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.

Job Summary

The Data Scientist will be responsible for developing predictive models, advanced analytics solutions, and actionable insights that support strategic decision‑making across Customer & Agent Solutions (CAS). This role partners closely with business stakeholders to identify opportunities, solve complex business problems, and drive measurable improvements in customer retention, agent experience, operational efficiency, and overall business performance.

The ideal candidate combines strong technical expertise in machine learning, statistics, Python, and SQL with the ability to communicate insights to non‑technical audiences and influence business outcomes.

Key Responsibilities

• Develop and deploy predictive and prescriptive analytics models to support customer and agent‑related business initiatives.
• Apply machine learning, statistical analysis, and data mining techniques to solve complex business problems.
• Analyze large datasets to uncover trends, opportunities, and actionable recommendations.
• Design, build, and maintain scalable, production‑ready analytical solutions.
• Partner with business stakeholders to translate business objectives into analytical approaches and success metrics.
• Collaborate with Data Engineering, IT, and Analytics teams on model deployment and optimization.
• Utilize ML Ops best practices, version control, and code documentation standards.
• Present findings and recommendations to technical and non‑technical audiences.
• Support business areas focused on customer retention, servicing, operational performance, lead optimization, and agent effectiveness.
• Mentor junior team members and contribute to analytics best practices.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field.
• 3+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.
• Experience with:
• Python (4-6 years preferred)
• Advanced SQL (7+ years preferred)
• GitHub (1-3 years preferred)
• Microsoft Office Suite (7+ years preferred)
• Databricks exposure (1-3 years preferred)
• Intermediate experience with Machine Learning.
• Intermediate experience with Statistical Analysis, Hypothesis Testing, and Descriptive Statistics.
• Experience developing and translating analytical solutions into business outcomes.
• Fluent English communication skills.

Preferred Qualifications

• Master's degree in Data Science, Statistics, Mathematics, Analytics, or related field.
• Experience within P&C Insurance, Banking, Financial Services, or similar highly regulated industries.
• Experience supporting customer service operations or call center environments.
• Experience with call routing optimization, workforce optimization, or contact center analytics.
• Exposure to Databricks and modern cloud‑based analytics platforms.
• Knowledge of ML Ops, GitHub, and model deployment lifecycle management.
• Experience with developing classification and other supervised learning models.

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

Personal Data Processing:The personal data provided during the recruitment and selection process will be collected, processed, andretainedfor legitimate recruitment and compliance purposes,in accordance withapplicable 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 fullydisclosedand formally reviewedin accordance withFBS internalconflict‑of‑interestand 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.