Data Scientist
Job Description
Bold Penguin, Inc. is hiring a Data Scientist to design and deploy intelligent insurance AI systems that bring Generative AI together with Quantitative Finance. This remote role centers on building optimization-driven solutions, retrieval-augmented intelligence, and agentic workflows, with an emphasis on rigorous statistical validation and production-ready cloud deployment.
What you’ll do
- Use mathematical optimization and portfolio theory to address complex resource allocation and market placement problems.
- Build Retrieval-Augmented Generation (RAG) pipelines and manage vector databases to deliver real-time, context-aware intelligence.
- Design and implement multi-agent systems and orchestration layers to automate complex, multi-step financial workflows.
- Assess model performance using advanced statistical techniques to support accuracy in high-stakes financial settings.
- Leverage AWS SageMaker and Bedrock to build, train, and scale machine learning models and agentic tools.
- Own end-to-end data pipelines, from cleaning unstructured financial data to retraining models to mitigate bias and maintain high-fidelity market insights.
What you bring
- A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field (including examples such as Financial Engineering).
- 3 to 5 years of experience as a Data Scientist, with preference for backgrounds in Financial Services, FinTech, or Property Risk Analytics.
- Proven experience with Large Language Models (LLMs), agentic orchestration, and RAG architectures.
- Strong foundation in optimization algorithms, statistical analysis, and machine learning principles.
- Strong Python skills and familiarity with AWS SageMaker and Bedrock.
- Experience with enterprise data science platforms such as RapidMiner (Altair) for automating financial data pipelines and risk modeling.
- Exceptional analytical skills, with a focus on attention to detail and data integrity.
- Strong communication skills and the ability to collaborate effectively across technical and product teams.
Technologies
- Python
- AWS SageMaker
- Bedrock
- Retrieval-Augmented Generation (RAG)
- Vector databases
- Large Language Models (LLMs)
- RapidMiner (Altair)
Compensation and location
Location: Remote (remote). Onboarding and optional in-office events may be required.
Salary: USD 86,500 - 134,300 per year.
Benefits
- Medical, Dental, and Vision
- Flexible PTO Policy
- 401(k) with a company match
- Employee Assistance Program
- Parental Leave
- Disability and Life Benefits
Work environment and accessibility notes
- Must be able to sit/stand/walk for prolonged periods (up to 8 hours per day) at a desk working on a computer.
- Must be able to use standard office equipment for extended periods, including a mouse, keyboard, phone, and video conferencing tools.
Culture
- Great Slack channels for work and play.
- Regular video conferences and company all-hands sessions called Waddles.
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