Data scientist

Bold Penguin is the premier digital broker for commercial insurance. Their technology expands top-of-funnel demand and increases yield for enterprise partners. Through digital distribution, wholesale capabilities, and AI-driven insights, they transform the lifecycle of both simple and complex risks, from prospecting to placement.

Benefits

We offer competitive compensation and progressive benefits that include:

• Medical, Dental, and Vision
• Flexible PTO Policy
• 401(k) with a company match
• Employee Assistance Program
• Parental Leave
• Disability and Life Benefits

Stay connected to the Glacier. We have great SLACK channels for work and play. We also like to video conference and hold all-hands "Waddles" regularly. Penguin bling. Like swag themed after a certain Antarctic bird? Just. You. Wait.

Bold Penguin believes in inclusion. That’s why we’re proud to be an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. To learn more about our results-focused culture and employee-focused perks, read more on our careers page.

YOUR ROLE

As a Data Scientist at Bold Penguin, you will be at the forefront of building our next generation of intelligent insurance products. The Data Scientist will be responsible for designing and deploying sophisticated AI systems that bridge the gap between Generative AI and Quantitative Finance. You will move beyond standard model deployment to build multi-agent frameworks and orchestration layers capable of complex financial reasoning. This role requires a strong background in Optimization Theory and Portfolio Management, similar to the algorithmic modeling found in high-growth FinTech or property analytics environments. You will oversee the end-to-end data pipeline, from cleaning unstructured financial data to retraining models to mitigate bias and ensure high-fidelity market insights.

WHAT YOU'LL DO

• Optimization Modeling: Apply mathematical optimization and portfolio theory to solve complex resource allocation and market placement problems.
• Advanced RAG & Vector Search: Engineer Retrieval-Augmented Generation (RAG) pipelines and manage vector databases to provide real-time, context-aware intelligence.
• Agentic Frameworks & Orchestration: Design and implement multi-agent systems and orchestration layers to automate complex, multi-step financial workflows.
• Statistical Validation: Evaluate model performance using advanced statistical techniques to ensure accuracy in high-stakes financial scenarios.
• Cloud AI Deployment: Utilize AWS SageMaker and Bedrock to build, train, and scale machine learning models and agentic tools.

YOUR LOCATION

This is a fully remote role, with the exception of onboarding and optional in-office events.

Skills & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field such as Financial Engineering.
• Professional Experience: 3 to 5 years of experience as a Data Scientist, preferably within Financial Services, FinTech, or Property Risk Analytics.
• Technical Expertise: Proven experience with Large Language Models (LLMs), agentic orchestration, and RAG architectures.
• Quantitative Mastery: Solid understanding of optimization algorithms, statistical analysis, and machine learning principles.
• Programming & Tools: Strong proficiency in Python and familiarity with AWS SageMaker and Bedrock.
• Platform Experience: Proficiency with enterprise data science platforms such as RapidMiner (Altair) for automating financial data pipelines and risk modeling.
• Problem Solving: Exceptional analytical skills with a focus on attention to detail and data integrity.
• Collaboration: Strong communication skills and the ability to work effectively across technical and product teams.

Physical Requirements

Must be able to sit/stand/walk for prolonged periods of time, (up to 8 hours per day) at a desk working on a computer. Must be able to use standard office equipment for extended periods of time, including but not limited to, a mouse, keyboard, phone and video conferencing.