Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- Senior Data Scientist leading advanced data modeling initiatives to automate and transform processes at Farmers. Collaborating with business leaders to deliver AI/ML solutions that enhance efficiency and decision-making.
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.).
- Own business outcomes (OKRs and KPIs) and communicate results and insights to business leaders and stakeholders.
- Perform research and development on new algorithms, modeling concepts, and technical tools; recommend adoption of new approaches into our analytics toolkit.
Requirements
- 5-7 years as Data Scientist or related technical role in a delivery oriented environment required.
- Experience within the insurance industry and insurance data preferred.
- 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.
- 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.
- Experience leading projects using CRISP-DM or similar frameworks.
- Experience with insurance data and industry-specific modeling.
- Knowledge of AI-powered development tools (e.g., GitHub Copilot) for accelerated model development.
- Proven expertise in processing automation and workflow optimization using ML/AI.
- Mastery of advanced statistical and machine learning concepts, including regression, GLMs, decision trees, ensemble modeling, clustering, and SVM.
Benefits
- Bonus Opportunity (based on Company and Individual Performance)
- 401(k)
- Medical
- Dental
- Vision
- Health Savings and Flexible Spending Accounts
- Life Insurance
- Paid Time Off
- Paid Parental Leave
- Tuition Assistance
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.