Underwriting Advanced Analytics & Risk Selection Specialist

Role Description

If you’re passionate about helping people protect what matters most to them at a Fortune 100 company with nearly $70 billion in annual sales, as well as innovating and simplifying processes and operations to provide the best customer value, then Nationwide’s Property and Casualty team could be the place for you!

Join a high-impact data insights team driving underwriting and claims excellence across Nationwide’s Commercial, Excess, Surplus, and Specialty lines (CLESS). The Advanced Analytics and Risk Selection Team delivers intelligent, actionable analytics, along with AI-driven insights and risk selection solutions that power competitive advantage. We’re looking for a hands-on technical expert who thrives on working directly with data to build scalable, intelligent solutions.

You will be deeply involved in querying, synthesizing, and visualizing complex datasets to uncover actionable insights. You’ll support design and delivery of advanced analytics, AI, and predictive solutions that drive strategic decision-making and a competitive advantage for the CLESS business.

Key Responsibilities

• Perform hands-on data exploration, feature engineering, and model development.
• Build scalable analytic and AI solutions aligned with underwriting and risk selection goals.
• Translate raw data into clear, consumable insights and visualizations.
• Collaborate across teams to assess business impact and deliver high-value solutions.

Qualifications

• Strong technical skills in Databricks, SQL, Python, R, or similar tools.
• Proven experience in data wrangling, visualization, and insight generation.
• Deep understanding of statistical distributions and methods such as hypothesis testing.
• Experience in P&C insurance.
• Familiarity with predictive modeling techniques and statistical and predictive modeling packages.
• Experience with database querying, data modeling, and analytic engineering.
• Ability to work independently and dive deep into complex data problems.
• Comfortable translating technical findings into business-relevant insights.
• Passionate about building solutions that make a measurable impact.
• Strong ability to communicate (written and verbally) complex messages in a business-friendly, consumable manner.

Requirements

• Undergraduate studies in data or business analytics, computer science, management information, business, mathematics or related field with post-graduate studies preferred.
• Six or more years of related experience with data extraction, data manipulation, data visualization analysis, and problem solving; working with large database. Professional experience in insurance, financial services, or a related industry preferred.

Benefits

• Medical/dental/vision.
• Life insurance, short and long term disability coverage.
• Paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date.
• Nine paid holidays.
• 8 hours of Lifetime paid time off.
• 8 hours of Unity Day paid time off.
• 401(k) with company match.
• Company-paid pension plan.
• Business casual attire.
• And more.