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Industry: Software Development
Company Size: 5,001-10,000 employees

DataAnnotation

Savvy Admin PROD

DataAnnotation is committed to creating high-quality AI. We are looking for an Investment Risk Analyst to join

our team to help train the next generation of AI while enjoying the flexibility of remote work and the

freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re

looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as

a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful

tool for finance professionals. We're seeking experienced finance professionals with advanced degrees

(MBA+) and professional experience to use their expertise to help shape how AI understands financial

principles and decision-making.

We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role,

**You Might**

- Review and improve AI Assistant answers to questions about macro trends, corporate finance,

and capital markets

- Leverage your education and work experience to check the reasoning and accuracy of an AI

Assistant's work

- Push the models with complex, real-world scenarios and edge cases to see where their

reasoning holds up – and where it doesn’t.

- Share clear, structured feedback to help make each new version of the AI smarter and more

reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a

finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant

backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth

Management, and Insurance Planning.

**Benefits**

- This is a full-time or part-time REMOTE position

- You’ll be able to choose which projects you want to work on

- You can work on your own schedule

- Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and

high-volume work

**Responsibilities**

- Give AI chatbots diverse and complex problems and evaluate their outputs

- Evaluate the quality produced by AI models for correctness and performance

**Qualifications**

- Fluency in English (native or bilingual level)

- Detail-oriented

- Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises

related to finance management

- A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any

currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.

#finance

Investment Risk Analyst

Brown & Brown Insurance delivers risk management solutions to help protect and preserve what our customers value most. Our three business segments—Retail, Programs and Wholesale Brokerage—offer a wide range of insurance solutions to businesses and individuals.

We are one of the insurance industry’s most powerful and influential leaders, with a strong, deeply rooted cultural foundation built on integrity, innovation, superior capabilities and discipline. The Power of WE ignites our performance, and while diverse and varied in abilities and experience, we are all connected through our core values, a commitment to our local communities and a shared mission—always doing what is best for our customers.

Brown & Brown is proud to be certified as a Great Place to Work®, and we are always actively looking for talented teammates who embrace our culture to join our winning team.

Find us on the NYSE as BRO.

Industry: Insurance
Company Size: 10,001+ employees

Brown & Brown Insurance

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 that directly inform point-of-sale underwriting decisions.

- Collaborate closely with actuaries and fellow data scientists to ensure all models are actuarially sound, statistically defensible, and aligned with pricing objectives.

- Own models end-to-end — from hypothesis formation and data collection through to production deployment and ongoing monitoring.

- Apply the latest generative AI tools, agentic frameworks, and LLM capabilities to real underwriting and pricing problems — staying current on developments and evaluating new approaches proactively.

- Ensure all solutions are maintainable, well-documented, and consistent with established team standards for reproducibility and deployment.

- Partner directly with underwriters and business leaders to understand portfolio needs, translate business problems into analytical solutions, and communicate findings clearly to non-technical stakeholders.

- Serve as a technical authority and mentor for the broader data science team — elevating the team's fluency in generative AI tooling and best practices.

- Contribute to a collaborative, standards-driven team environment where your work can be maintained and built upon by others.

**Basic Qualifications**

- 5+ years of experience in data science or applied machine learning, with demonstrated end-to-end model ownership from data collection through production deployment. You can lead projects independently while keeping stakeholders aware of progress, risks, and limitations.

- Hands-on experience with large language models and generative AI frameworks, including Microsoft Foundry and/or Azure OpenAI endpoints, as well as LLM orchestration tools such as LangChain, LangGraph, or equivalent R-based tools such as ellmer.

- Proficiency in R and/or Python, with comfort working across both languages in a production environment.

- Strong foundation in statistical modeling, including GLMs, gradient boosting, and other techniques used for risk assessment and pricing.

- Experience building and deploying models in cloud-based production environments (Azure preferred).

- Demonstrated ability to communicate complex technical findings clearly to business stakeholders (written, verbal, and data visualization).

- A strong appreciation for contributing and maintaining well-written documentation. You value version control (git).

- Strong problem-solving orientation with a bias toward action and delivery.

- 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.

**Preferred Qualifications**

- Experience in property and casualty insurance, specialty lines, or a related financial services domain with familiarity with underwriting workflows and pricing concepts.

- Familiarity with actuarial methods, GLM-based pricing, or 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, including model versioning, code reproducibility management, and CI/CD for analytical pipelines.

**Pay Range**

$120,000.00 - $160,000.00 Annual

~~The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.~~

**Teammate Benefits & Total Well-Being**

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

- Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance

- Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement

- Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services

- Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

~~Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.~~

**The Power To Be Yourself**

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.

Senior Data Scientist - AI

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