Lead Data Scientist [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Scientist based in the United States.

This role is a senior, hands-on data science position focused on advancing pricing analytics within the pet insurance industry.
You will lead the development of predictive pricing models that directly influence underwriting decisions, portfolio performance, and customer outcomes.
The position combines advanced statistical modeling, machine learning, and insurance domain expertise to improve rate setting and risk segmentation.
You will own end-to-end analytical projects, from problem definition through model delivery, across multiple concurrent initiatives.
The role requires close collaboration with actuarial, product, engineering, and business teams to translate complex analytics into actionable strategy.
You will also act as a technical leader and mentor, helping shape best practices within a growing data science organization.
This is a high-impact opportunity where your work directly shapes pricing strategy and business performance in a fast-evolving insurance environment.

Accountabilities:

• Lead the development, refinement, and maintenance of GLM-based pricing models and related statistical approaches used for insurance rate setting and risk segmentation.
• Own end-to-end delivery of analytical projects, independently managing 2–4 concurrent initiatives across pricing, research, and model enhancement.
• Apply machine learning and advanced statistical techniques to improve predictive accuracy, customer behavior insights, and portfolio performance.
• Conduct deep exploratory data analysis and root-cause investigations using Python and SQL to support pricing and business decisions.
• Collaborate with engineering teams to resolve data issues and ensure high-quality inputs for modeling and analytics.
• Translate complex modeling outputs into clear, actionable insights for both technical and non-technical stakeholders, including senior leadership.
• Serve as a subject matter expert in insurance pricing, supporting methodological rigor and analytical best practices across the team.
• Mentor junior data scientists and contribute to the development of scalable data science standards and practices.

Requirements:

• Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field with 2+ years of experience, or 4+ years of relevant data science/analytics experience.
• At least 1 year of experience in P&C or pet insurance pricing, including rate modeling, GLMs, or actuarial/data science applications.
• Strong proficiency in Python and SQL for data manipulation, modeling, and advanced analysis.
• Deep understanding of generalized linear models (GLMs), regression techniques, and statistical inference methods.
• Proven ability to manage multiple high-impact projects simultaneously in a fast-paced, collaborative environment.
• Strong communication skills with the ability to explain complex analytical concepts to diverse audiences.
• Experience working in cross-functional environments with actuarial, product, and engineering teams.
• Strong problem-solving abilities, attention to detail, and ownership mindset.
• Preferred: Experience with Snowflake, Databricks, SQL Server, or data warehousing environments.
• Preferred: Familiarity with tools such as WTW Radar, Emblem, or Earnix, and dashboarding tools like Power BI.

Benefits:

• Comprehensive medical, dental, and vision insurance coverage
• 12 weeks of 100% paid parental leave
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Retirement savings plan
• Company-paid short-term and long-term disability coverage
• Paid time off, holidays, and company wellness day
• Paid volunteer time for nonprofit organizations
• Pet insurance and pet-friendly workplace culture
• Commuter benefits and Employee Assistance Program (EAP)
• On-the-job training and continuous professional development opportunities.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.