Data Scientist / Engineer

Who you are

• We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
• Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems
• Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants
• Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments
• Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows
• Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini)
• Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations
• Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake. Good understanding of Spark data architecture is a plus
• Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation

What the job involves

• This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world
• Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement
• Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain
• As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients
• Your role will be to actively contribute to the US- Insurance roadmap and clients, and working on various data types such as structured data, free text, documents and images
• Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models
• Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for subrogation, claims handling, document understanding, and related use cases
• Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of autonomous subrogation solutions
• Develop "Chain-of-Thought" and "ReAct" prompting strategies to ensure the agent can justify its liability percentages based on the Comparative Negligence laws of different jurisdictions
• Create custom "tools" for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data
• Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent’s decisions are unbiased, legally sound, and explainable
• Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance
• Lead client workshops, present prototypes, gather feedback and help define roadmap priorities

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Generous PTO and paid holidays
• Parental leave opportunities
• Extensive mental health benefits provided via our global Employee Assistance Program
• Paid volunteering time - 16 hours annually