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# FBS (Mexico) - Associate Data Scientist

- **Company:** Farmers Insurance
- **Location:** United States
- **Contract:** Internship / Graduate position
- **Skills:** Computer Programming, Extract Transform Load (ETL), Data Mining, Python (Programming Language), Machine Learning, SQL Databases, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** October 15, 2026
- **Apply:** https://jobs.farmersinsurance.com/talentcommunity/apply/1374895457/?locale=en_US

## About the Role

* Master's degree highly preferred in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.
 * Bachelor's degree may be considered with relevant internship, project, research, or professional experience demonstrating strong data science and analytics capabilities.

Experience Requirements

 * Minimum 1 year of data science experience.
 * Data analytics or similar internship preferred.
 * Modeling experience using Python and Python libraries
 * Experience with SQL

## Description

* Utilizes basic knowledge to apply analytics and modeling techniques to improve business results.
 * Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies.
 * The role actively learns about business operations and best practices in data science with guidance from more senior roles.

Essential Job Functions

 * Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
 * Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
 * Executes on low- complexity business challenges involving data science.
 * Succeeds in projects by utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines.
 * Executes on routine projects with a sense of urgency. Contributes to development of presentations.
 * Occasionally communicates complex technical material understandable to non-technical associates. Executes basic to intermediate model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules.