Specialist, Analytic Scientist

Nationwide Mutual Insurance • Columbus, OH

5d • Hybrid

About The Position

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. The Specialist, Analytic Scientist role sits within the Model Delivery team in Nationwide’s Enterprise Analytics Office (EAO), a centralized advanced analytics group that pioneers analytic solutions to create business value and support Nationwide’s mission of protecting people, businesses, and futures with extraordinary care. Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results. We value a commitment to lifelong learning and strong quantitative judgment. If you are a methodological generalist who is adept at applying your technical skill set to a wide range of business applications, we want to know more about you! As a Specialist, you’ll often work independently and seek guidance and support from their manager as needed. You’ll participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results. We’ll count on you to be fully proficient with common statistical and machine learning techniques and exhibit some knowledge of advanced modeling techniques and their application.

Requirements

• Bachelor’s degree in a quantitative field such as statistics, data science, computer science, mathematics, engineering, economics, or a related discipline; an advanced degree (MS/PhD) in a relevant field is strongly preferred or equivalent combination of education and experience.
• Demonstrated experience (typically 3+ years) applying statistical and machine learning techniques to real ‑ world problems, including end ‑ to ‑ end model development—from exploratory data analysis through model selection, validation, and documentation—preferably within financial services, insurance, or other highly regulated domains.
• Proficiency in Python or R for data analysis and modeling, along with working knowledge of SQL and modern ML/AI tooling (e.g., cloud platforms such as AWS/SageMaker, Git/GitHub, model deployment and monitoring frameworks); experience with GenAI/LLMs or natural language processing is a plus.
• This role does not qualify for employer sponsored work authorization.
• Nationwide does not participate in the STEM OPT extension program.

Nice To Haves

• experience with GenAI/LLMs or natural language processing is a plus.

Responsibilities

• Completes well-defined objectives associated with the design, development, implementation, and monitoring of statistical and machine learning models independently.
• Works with business partners to craft an analytic strategy that meets their needs and delivers timely results.
• Integrates relevant internal and external research findings to generate hypotheses and help business partners make informed decisions.
• Applies advanced quantitative techniques to analyze any given data structure.
• Builds predictive and explanatory models to generate actionable insights and practical solutions to business problems.
• Crafts deliverables that provide clear and concise summaries of findings and recommendations using impactful storylines and data visualization geared to both technical and non-technical audiences.
• Upholds a high standard for methodological rigor, sound statistical inference, and robust model validation.
• May perform other duties as assigned.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level