About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Staffing and Recruiting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This Data Scientist role supports a pricing and analytics team focused on insurance performance, reserving, and telematics-driven modeling. You’ll work across the full analytic lifecycle — from raw data exploration to production-ready models and business-facing recommendations — collaborating with pricing and actuarial leaders.

• Perform end-to-end analyses that support rate reviews and regulatory documentation, including data preparation, trend evaluation, and loss development analysis.
• Develop, test, and refine pricing and telematics models using statistical and machine learning methods; ensure results are explainable and suitable for business use.
• Assist with reserving analyses using loss triangles, development patterns, and ultimate loss estimation aligned to actuarial and financial reporting needs.
• Build and maintain recurring dashboards and reports tracking key indicators (loss ratio, frequency, severity, cohort behavior).
• Investigate unusual portfolio shifts or segment results and translate findings into actionable recommendations.
• Write organized, reusable code and data workflows; document assumptions and methods so others can reproduce and extend your work.
• Communicate findings clearly in written summaries and presentations for non-technical stakeholders.

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Qualifications

• At least 1 year of relevant experience in actuarial analysis, insurance data science, pricing analytics, or a closely related analytical role (strong early-career candidates with internships considered).
• Proficiency in Python and SQL for data extraction, cleaning, analysis, and modeling.
• Solid understanding of statistical modeling principles and ability to explain model behavior and limitations.
• Experience or familiarity with machine learning libraries and working with large data environments (e.g., BigQuery) is a plus.
• Strong attention to detail, intellectual curiosity, and persistence in diagnosing unexpected data patterns.
• Clear written and verbal communication skills; ability to explain technical results to business partners.

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Preferred / Nice-to-haves

• Experience with telematics or connected-vehicle datasets.
• Progress toward actuarial exams or prior actuarial internship experience.
• Familiarity with dashboarding tools and production data pipelines.
• Regular, responsible use of AI-enabled tools to speed analysis and coding, combined with sound judgment about their outputs.

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Compensation & Benefits

• Base salary: $70,000 — $90,000 USD per year (range provided in source posting).
• Benefits (where applicable): medical, vision, dental, life and disability insurance, and retirement plan access for eligible employees or contractors. Specific benefits depend on position type (contract vs. permanent) and will be confirmed during the hiring process.

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Location & Work Authorization

This role is based in Los Angeles, CA. Candidates must be legally authorized to work in the United States. Confidential Client will consider applicants in accordance with applicable local fair chance laws.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.