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# Tax / Experienced / Manager Manager, Economic Services - Data Science

- **Company:** Kpmg LLP
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Github, Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Information Technology, Machine Learning Operations
- **Published:** September 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/manager-economic-services-data-science-philadelphia-pa--3ad0f372-7e17-40ad-9f4e-3795a7e8633d

## About the Role

* Minimumfive years of recent experience with advisory related projects within aquantitative analysis firm, consulting firm, or background in a scientificlaboratory
 * PhD inthe areas of Computer Science, Mathematics, Mathematical Statistics, ElectricalEngineering is required
 * Aportfolio of projects (such as via GitHub, personal website, or other platforms)that demonstrates expertise in building and deploying AI/ML models and NLPsolutions
 * Experiencebuilding data science or LLM-based products, with a demonstrable track recordof your personal contributions to the codebase
 * Demonstratedexperience in the development, application and interpretation of complexeconomic and statistical modeling frameworks using Python or R
 * Strongwritten and verbal communication skills, excellent research skills, and theability to work well both autonomously and in a team environment
 * Applicantsmust be authorized to work in the US without the need for employment-based visasponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S.work visa status for this opportunity (no sponsorship for H-1B, L-1, TN, O-1,E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

## Description

* Create econometric analysis, machine learning and deep learning models on economic,regulatory and policy issues of significance to a range of clients in thepublic and private sector

BuildLLM-powered applications and contribute to Agentic AI system design for complextasks

 * Design,build, and productionize Retrieval-Augmented Generation (RAG) systems,including document ingestion, embedding pipelines, vector search, and LLMorchestration
 * Contributeto and maintain a repository of internal tools and client-facing solutions,showcasing best practices in software development and model deployment
 * Developand document prototypes and production-level code for a variety of AI andmachine learning applications; develop proof of concept, prototype, and minimumviable products
 * Craftrigorous, insightful narratives on the issues under analysis and translatethese into informative professional reports, dashboards, and visualizationsthat are accessible to technical and non-technical audience
 * Act with integrity, professionalism, and personal responsibility to uphold KPMGs respectful and courteous work environment