YOUR ROLE
You will lead the data science projects and mentor the junior team members. You need to have extensive knowledge of advanced Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) and fine-tuning techniques. This role requires a hands-on leader who is eager to drive projects to completion, support peers and junior data scientists, and resolve production issues promptly whenever needed.

WHAT YOU'LL DO

• Project Ownership: Take full ownership of data science projects from inception to deployment. Ensure timely and successful project delivery by overseeing the entire data science pipeline.
• Mentorship: Mentor and guide junior data scientists, fostering a collaborative and learning environment. Provide technical and professional development support to team members.
• Agentic AI Systems: Design, develop, and deploy agentic AI solutions capable of reasoning, planning, tool usage, and autonomous task execution. Evaluate and implement emerging agent frameworks and orchestration patterns. Build multi-agent workflows to automate complex business processes and improve operational efficiency.
• Advanced LLM Knowledge: Apply advanced knowledge of Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) and fine-tuning. Stay updated with the latest advancements in LLM technologies and implement them in projects.
• Proactivity and Execution: Demonstrate a proactive attitude and eagerness to get things done efficiently. Drive project initiatives and ensure continuous progress.
• Peer and Junior Work Review: Review the work of peers and junior data scientists, providing constructive feedback and support. Ensure high-quality deliverables through thorough evaluation and guidance.
• Production Issue Resolution: Take responsibility for fixing data science-related production issues promptly. Implement robust solutions to minimize downtime and ensure smooth operations.
• AWS SageMaker, Bedrock, and AgentCore Expertise: Utilize AWS SageMaker for building, training, fine-tuning, and deploying machine learning and generative AI models. Leverage AWS Bedrock and Bedrock AgentCore to develop, deploy, and manage production-grade AI agents, Retrieval-Augmented Generation (RAG) solutions, multi-agent workflows, and tool-calling applications. Integrate foundation models with enterprise systems, APIs, vector databases, and knowledge bases while ensuring scalability, security, and operational excellence.
• Other duties and responsibilities as assigned.

• Bachelor's degree, Master’s degree, or PhD in Computer Science, Data Science, Statistics, or a related field.
• 5+ years proven experience as a Senior Data Scientist, with expertise in advanced LLMs like RAG and fine-tuning.
• Hands-on experience building agentic AI applications and multi-agent systems.
• Strong understanding of MCP (Model Context Protocol), tool calling, and AI agent orchestration patterns.
• Expertise in Retrieval-Augmented Generation (RAG), vector databases, semantic search, and knowledge retrieval systems.
• Solid understanding of machine learning algorithms and statistical analysis.
• Familiarity with agent evaluation frameworks, observability, and production monitoring.
• Knowledge of prompt engineering, agent planning, memory management, and context optimization techniques.
• Excellent problem-solving skills and attention to detail.
• Strong leadership, communication, and collaboration skills.
• Ability to mentor and guide junior team members effectively.
• Proactive and results-driven mindset.

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

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