Data Scientist

Insight Global • Newark, NJ • 3h ago

Job Description

We are seeking a well-rounded Data Scientist to support the development of advanced AI/ML solutions focused on claim automation and intelligent document processing (IDP). This role will work on building scalable systems that reduce manual intervention in claims workflows by leveraging a combination of traditional machine learning techniques and AI/LLMs.

The ideal candidate is solution-oriented, creative, and technically versatile, with the ability to take ambiguous business problems and design end-to-end technical solutions.

Key Responsibilities

Design and develop production-grade Generative AI and agentic solutions

Build AI agent frameworks, orchestration layers, and @context engineering pipelines

Develop and integrate MCP (Model Context Protocol) servers for secure access to tools, APIs, and data sources

Implement Agent-to-Agent (A2A) communication patterns and multi-agent systems

Write production-level Python code and support full AI lifecycle (design ? deployment ? monitoring)

Partner cross-functionally with ML engineers, data engineers, and software teams

Research and apply emerging AI techniques, frameworks, and tools

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Advanced degree (Master's or PhD) in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering, Physics, Econometrics, Data Science)

Strong experience delivering end-to-end AI/ML solutions in production environments

Hands-on expertise in Generative AI and NLP (LLMs, RAG, LangChain, LangGraph, vector databases)

Proven experience with:

? Context engineering (prompt design, structured outputs, @context management)

? Agent frameworks and orchestration systems

? Multi-agent architectures and A2A communication

Strong programming skills in Python and SQL

Experience with data acquisition, transformation, and large-scale data processing

Solid understanding of ML theory and model lifecycle (training, evaluation, monitoring)

Experience working in cloud environments, preferably AWS

Strong communication, collaboration, and problem-solving skills - Experience building MCP servers or similar tool-integration layers

Familiarity with CI/CD pipelines for AI/ML and model versioning

Knowledge of observability and responsible AI practices

Experience working with enterprise-scale data systems and APIs

Exposure to financial services or insurance domain

Background working in agile environments with cross-functional teams

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