Root Insurance

Compensation

Full Description

The Opportunity We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. As a Data Scientist (DS) II within Root’s pricing data science team, you will be instrumental in refining our pricing models while ensuring compliance with nuanced regulatory requirements. This role offers the opportunity to collaborate closely with teams across Product, Actuarial, and State Product Management, addressing regulatory feedback from departments of insurance and fine-tuning our models to meet market-specific needs. Your work will involve fitting and adjusting models, while ensuring our filings are data-driven, defensible, and optimized for performance. You'll apply your technical expertise in R (e.g., tidyverse, data.table) and SQL to analyze, manipulate, and model data effectively. Experience with H2O and advanced modeling techniques is also highly valued. If you’re eager to use your data science skills in a dynamic, high-impact area, we invite you to join our team and help shape the future of pricing in the insurance industry. Root is a “work where it works best” company, meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus to give more flexibility and more choice about how we live and work. Salary Range: $116,664 - $145,830 (Bonus and LTI Eligible) Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US. How You Will Make an Impact Support the refinement of pricing models to ensure compliance with regulatory requirements, responding to objections and inquiries from departments of insurance. Contribute to the continuous improvement of our pricing models, driving both regulatory compliance and performance optimization. Collaborate with Product, Actuarial, and State Product Management teams to ensure alignment across departments. Apply your technical skills in R, SQL, and H2O to analyze and optimize pricing models. Contribute to large-scale data science modeling projects, employing best practices in coding, version control, and project execution. What You Will Need to Succeed Advanced degree in a quantitative discipline (Master’s or PhD preferred) and 2+ years of experience applying advanced quantitative techniques, ideally in the insurance or financial services industry. Strong proficiency in R (e.g., tidyverse, data.table) and SQL, with the ability to independently query, manipulate, and model data. Familiarity with pricing models and understanding of insurance regulatory environments is a strong plus. Experience with H2O and other advanced modeling techniques is a plus. Technical proficiency in version control systems such as Git, with experience contributing to data science projects. Experience with cloud utilities such as AWS (e.g., EC2, S3) is a plus for scalable data processing and storage. Strong business intelligence and data visualization skills, with the ability to communicate insights to both technical and non-technical stakeholders. An ownership mentality, with the ability to take initiative and drive work forward in a collaborative team environment. Strong communication skills, enabling you to explain complex technical concepts clearly to cross-functional stakeholders. As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through. Please see our Privacy Notice available HERE for more information on how we process your personal data.