Farmers seeks to automate its quoting process, enhance customer experience, and increase organizational efficiency through advanced data modeling and AI/ML solutions.
Requirements
- 5-7 years as Data Scientist or related technical role in a delivery oriented environment required.
- 5-7 years of experience building and deploying machine learning models in production environments with proven track record of building models that impact business KPIs
- Advanced proficiency in Python and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch).
- Expert proficiency in data management programming (SQL) and real-time data processing pipelines.
- Experience integrating and working with third-party data APIs and ETL pipelines.
- Experience leading projects using CRISP-DM or similar frameworks.
- Mastery of advanced statistical and machine learning concepts, including regression, GLMs, decision trees, ensemble modeling, clustering, and SVM.
Responsibilities
- Lead the design, build, and validation of quantitative models (descriptive, predictive, optimization/simulation) for underwriting automation and other business functions.
- Develop and deploy ML solutions that accelerate quote-to-bind processes, automate risk assessment, and enable straight-through processing for standard risks.
- Create sophisticated risk and customer segmentation strategies; build real-time scoring engines to support instant decisioning.
- Pull, clean, and manage datasets; design models using advanced statistical and machine learning concepts (e.g., regression, GLMs, decision trees, ensemble modeling etc.,).
- Perform research and development on new algorithms, modeling concepts, and technical tools; recommend adoption of new approaches into our analytics toolkit.
- Extract and clean complex datasets, build and rigorously test models, and present results clearly to demonstrate business value.
- Provide exploratory and predictive modeling services for various lines of business and shared functions.
Other
- Strong written and oral communication skills; ability to present to senior executives and non-technical stakeholders.
- Well-organized and able to lead projects from a technical standpoint.
- Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person.
- Hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office.
- Farmers is an award winning, equal opportunity employer, committed to the strength of an inclusive workforce.
