Farmers Insurance DDHQ

About the Company

The Denver District Headquarters of Farmers Insurance is a pillar in the Denver community and an industry leader. Established by Jared Seyl, a five-time Farmers District Manager of the Year (2012-2016, 2018), the District Office has also earned a Presidents Council nomination each of the last six years and has been rated an A+ by the BBB. Housing some of the most exceptional professionals in the industry, the Denver District Headquarters is looking to expand and grow with and within the Denver area!

Listed Jobs

Company Name

Farmers Insurance DDHQ

Job Title

Analytics Engineer Summer Internship: Woodland Hills, CA/ Hartford, CT/ Caledonia, MI

Job Description

Job Title: Analytics Engineer Intern – Summer Program Role Summary: Paid, 10‑12‑week internship focused on turning raw business data into precise, analytics‑ready datasets. Candidates will perform data engineering tasks, collaborate with analysts and data scientists, and develop reusable data pipelines. Expectations: Full-time 40 hours per week; hybrid schedule (3 days onsite at one of three locations, 2 days virtual). Deliver clean, validated data for stakeholder use, document code and processes, communicate findings to non-technical audiences, and actively contribute to team projects and learning sessions. Key Responsibilities: 1. Work with analysts, data scientists, and business stakeholders to gather data requirements. 2. Extract, transform, and load (ETL) data using SQL and Python. 3. Build and maintain data workflows with tools such as dbt and Airflow. 4. Utilize cloud platforms (AWS, Azure, or GCP) for data storage, processing, and modeling. 5. Validate data quality and ensure models meet business needs. 6. Document procedures, pipeline logic, and maintain version control. 7. Present technical concepts and insights to non‑technical audiences. 8. Perform additional related tasks as assigned. Required Skills: - Proficiency in SQL and Python for data manipulation. - Understanding of data modeling, cleaning, and validation. - Familiarity with modern data tools (dbt, Airflow) and at least one cloud platform. - Strong verbal and written communication. - Self‑motivation, problem‑solving ability, and quick learning. - Basic Microsoft Office Suite knowledge is a plus. Required Education & Certifications: - Currently enrolled in an accredited university program. - Pursuing a Bachelor’s or Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, or a related quantitative field. - Must be a rising junior, senior, or graduate student. - No specific certifications required.

Los angeles, United states

Hybrid

18-01-2026

Company Name

Farmers Insurance DDHQ

Job Title

Data Scientist Summer Internship: Woodland Hills, CA/ Hartford, CT/ Caledonia, MI

Job Description

**Job title:** Data Scientist Summer Internship **Role Summary:** A 10‑12 week, paid, full‑time summer internship focused on applying machine‑learning and predictive modeling techniques to real business challenges. Interns will work in a hybrid setting, contributing to data‑driven projects, developing analytics proficiency, and communicating insights to non‑technical stakeholders. **Expectations:** - 40 hours per week; 10–12 week duration. - Current enrollment in an accredited college or university, pursuing a Bachelor’s or Master’s degree. - Rising junior or senior undergraduate student, or graduate student. - Self‑motivated, quick learner with strong problem‑solving skills. - Ability to work independently and collaboratively, and to clearly articulate technical findings. **Key Responsibilities:** - Apply appropriate modeling techniques to support business decisions. - Prepare, clean, and transform both structured and unstructured datasets for modeling. - Build, refine, and refresh predictive models under guidance. - Translate complex analytical results into actionable insights for non‑technical stakeholders. - Perform ad‑hoc analytical tasks and other duties as assigned. **Required Skills:** - Proficiency in Python (or equivalent language) for machine learning and data analysis. - Strong data manipulation and statistical analysis capabilities. - Familiarity with machine‑learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch). - Excellent verbal and written communication skills. - Self‑direction, initiative, and adaptability. - (Preferred) Basic familiarity with Microsoft Office Suite. **Required Education & Certifications:** - Enrolled in an accredited institution pursuing a Bachelor’s or Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, or a related quantitative field. - No additional certifications required.

Los angeles, United states

Hybrid

26-01-2026

Company Name

Farmers Insurance DDHQ

Job Title

Data Scientist Summer Internship: Woodland Hills, CA/ Hartford, CT/ Caledonia, MI/ Warwick, RI

Job Description

**Job Title** Data Scientist Summer Internship **Role Summary** A 10‑12 week, full‑time (40 hrs/week) paid internship focused on building and refining predictive models using machine learning techniques. Interns will analyze structured and unstructured data, develop models, and translate insights into actionable business recommendations. **Expectations** • Commit to a 10‑12 week internship period. • Work 40 hrs/week, in a hybrid setting with at least 3 days on site. • Provide deliverables that advance current modeling projects and data pipelines. • Communicate findings clearly to non‑technical stakeholders. **Key Responsibilities** 1. Apply appropriate statistical and machine learning models to address business challenges. 2. Prepare, clean, and transform internal and external datasets for model development. 3. Participate in model validation, performance monitoring, and iterative refinement. 4. Present technical results and insights to cross‑functional teams in accessible language. 5. Engage in project-related duties and shadowing as assigned. **Required Skills** - Strong analytical ability and experience manipulating data to solve problems. - Proficiency in Python (pandas, scikit‑learn, or equivalent) for machine learning. - Knowledge of statistical concepts and modeling techniques. - Effective written and verbal communication, able to explain complex topics to non‑technical audiences. - Self‑motivated, quick learner, and teamwork oriented. **Required Education & Certifications** - Current enrollment in a U.S. accredited college or university. - Pursuing a Bachelors (BS/BA) or Masters (MS/MA) in Mathematics, Statistics, Data Analytics, Computer Science, or related quantitative field. - Eligible as a rising junior, senior, or graduate student. ---

Los angeles, United states

Hybrid

30-01-2026