Data Scientist / Engineer, Healthcare Payment Integrity

🕒 May 14

🇺🇸 United States – Remote

💵 $120k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Shift Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

💰 $220M Series D on 2021-11

Artificial Intelligence • Insurance • SaaS

Shift Technology is a company that specializes in AI-driven solutions for the insurance industry. They offer a variety of products designed to optimize critical insurance decisions, with a focus on fraud detection, risk detection, and claims management. Leveraging deep insurance expertise and advanced artificial intelligence technology, Shift Technology helps major insurance providers across the globe improve decision-making accuracy and efficiency. Their solutions are highly reliable, secure, and capable of providing clear explanations for each decision made, supporting compliance efforts in areas like AML/KYC. Trusted by some of the top insurers worldwide, Shift Technology has established itself as a leader in the field of AI for insurance.

📋 Description

• Actively contribute to the US Health roadmap and clients, and work on various data types such as structured claims data, free text, documents, and images • Build and productionize data pipelines optimized for LLMs and multi-modal models • Design, develop and deploy LLM-based solutions for claims handling, document understanding, and related use cases • Experiment with Agentic AI technologies and develop MVP for the next generation of payment integrity solutions • 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 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

🎯 Requirements

• 3+ years of Data Science and Healthcare Insurance Payment Integrity experience • 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) • 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 • Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models • Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations

🏖️ Benefits

• Flexible remote and hybrid working options • Competitive Salary and a variable component tied to personal and company performance • Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth • Generous PTO and paid holidays • Mental health benefits • 2 MAD Days per year (Make A Difference Days for paid volunteering)