Arrowhead Intermediaries

insurance

SeniorDataScientist

$120–160k San Diego, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist at Arrowhead Intermediaries. Skills: generative AI, large language models, predictive modeling, risk assessment. Identify, extract, and integrate non-traditional data sources. Prototype, build, and iterate on data enrichment pipelines”

What You'll Achieve.

improves risk selection; enhances pricing models; drives profitability; move the needle on underwriting profitability and risk selection; contributing to shared outcomes

Industry & Context.

insurance
Problems you'll solve

problem-solving orientation; translate business problems into analytical solutions

Eligibility Requirements

Applicants must be authorized to work for any employer in the U. S., We are unable to sponsor or take over sponsorship of an employment Visa.

What They're Looking For.

Must Have

5+ years of experience in data science or applied machine learning, demonstrated end-to-end model ownership from data collection through production deployment, Hands-on experience with large language models and generative AI frameworks, Microsoft Foundry and/or Azure OpenAI endpoints, LLM orchestration tools such as LangChain, LangGraph, or equivalent R-based tools such as ellmer, Proficiency in R and/or Python, comfort working across both languages in a production environment, foundation in statistical modeling, GLMs, gradient boosting, techniques used for risk assessment and pricing, Experience building and deploying models in cloud-based production environments, Demonstrated ability to communicate complex technical findings clearly to business stakeholders (written, verbal, and data visualization), appreciation for contributing and maintaining well-written documentation, version control (git), problem-solving orientation with a bias toward action and delivery, Applicants must be authorized to work for any employer in the U. S.

Nice to Have

Experience in property and casualty insurance, specialty lines, or a related financial services domain, familiarity with underwriting workflows and pricing concepts, Familiarity with actuarial methods, GLM-based pricing, experience collaborating with actuarial teams, Experience with Posit Connect, Posit Workbench, Shiny, or Quarto for production deployment and reporting, Knowledge of web scraping, API integration, or unstructured data extraction pipelines, Demonstrated ability to mentor data scientists and elevate team technical capabilities, Experience setting up or contributing to MLOps practices, model versioning, code reproducibility management, CI/CD for analytical pipelines

What You'll Do.

and integrate non-traditional data sources

and iterate on data enrichment pipelines

and maintain advanced predictive models

Collaborate closely with actuaries and fellow data scientists

Own models end-to-end

Apply the latest generative AI tools

Ensure all solutions are maintainable

Partner directly with underwriters and business leaders

Serve as a technical authority and mentor

Contribute to a collaborative

standards-driven team environment

How You'll Work.

Team & Collaboration

Collaborate closely with actuaries and fellow data scientists; Partner directly with underwriters and business leaders; Contribute to a collaborative, standards-driven team environment; helping others succeed and contributing to shared outcomes

Communication Scope

communicate findings clearly to non-technical stakeholders; clear communication

Process & Methodology

lead projects independently, keeping stakeholders aware of progress, risks, and limitations

Full Job Description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Arrowhead Intermediaries is looking for a Senior Data Scientist to join our Data & Analytics Team! Join us as a Senior Data Scientist, with a strong focus on how AI and large language models can help a business win – not just how to run a better model. You are comfortable bridging the gap between cutting-edge technology and practical business constraints, asking questions that actuaries, underwriters, and business leaders haven’t thought to ask yet, and finding ways to answer them. You take ownership of outcomes and not just outputs. This is an opportunity to shape how a leading global insurance intermediary thinks about AI-driven underwriting that improves risk selection, enhances pricing models, and drives profitability across our property and casualty insurance products. You will use generative AI as a force multiplier – enabling you to independently prototype data pipelines, unlock alternative data sources, and deliver end-to-end solutions that would traditionally require multiple engineering handoffs. You are proactively identifying where AI can move the needle on underwriting profitability and risk selection. Most importantly, you are a team player. You value working in a collaborative environment, helping others succeed and contributing to shared outcomes with humility, curiosity, and clear communication. **JOB DUTIES:** * Identify, extract, and integrate non-traditional data sources into underwriting and pricing workflows using generative AI, LLMs, and AI-assisted pipeline development * Prototype, build, and iterate on data enrichment pipelines rapidly, validating signal quality and relevance before integration into production models – expanding the team’s data capabilities without traditional engineering dependencies. * Design, build, and maintain advanced predictive models for risk frequency, severity, and loss ratio t

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