Manager, Economic Services - Data Science

KPMG LLP; McLean (VA); On-site; USD 150,000 - 230,000; Full time

Job summary

KPMG LLP in McLean, VA seeks a Manager, Economic Services - Data Science to lead econometric analyses, ML/DL models, and NLP solutions for public and private sector clients.

You will build LLM-powered applications, design RAG pipelines, publish production-ready code, and communicate insights through dashboards and reports while upholding KPMG's professional standards.

Qualifications

• PhD in CS, mathematics, mathematical statistics or electrical engineering.
• 5+ years of advisory/quantitative analysis experience.
• Portfolio of AI/ML/NLP projects with deployment/prod experience.
• Demonstrated contributions to AI/ML product codebases.

Responsibilities

• Create econometric analyses, ML and DL models on economic, regulatory and policy issues.
• Build LLM-powered applications and contribute to Agentic AI system design.
• Design, build and productionize Retrieval-Augmented Generation pipelines and embedding workflows.
• Maintain tooling and client-facing solutions with best practices in deployment.
• Document prototypes and production code; translate analyses into reports and dashboards.

Skills

Econometrics

Machine learning

NLP

Communication skills

Team collaboration

Education

PhD in Computer Science / Mathematics / Mathematical Statistics / Electrical Engineering

Tools

Python

R

Git/GitHub

LLM tooling

Job description

KPMG is currently seeking a Manager, Economic Services - Data Science to join our Economic & Statistical Consulting practice.

Responsibilities:

• Create econometric analysis, machine learning and deep learning models on economic, regulatory and policy issues of significance to a range of clients in the public and private sector
• Build LLM-powered applications and contribute to Agentic AI system Design for complex tasks
• Design, build, and productionize Retrieval-Augmented Generation (RAG) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration
• Contribute to and maintain a repository of internal tools and client-facing solutions, showcasing best practices in software development and model deployment
• Develop and document prototypes and production-level code for a variety of AI and machine learning applications; develop proof of concept, prototype, and minimum viable products
• Craft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports, dashboards, and visualizations that are accessible to technical and non-technical audience
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment
  

Qualifications:

• Minimum of five years of recent experience with advisory related projects within a quantitative analysis firm, consulting firm, or background in a scientific laboratory
• PhD in the areas of Computer Science, Mathematics, Mathematical Statistics, Electrical Engineering is required
• A portfolio of projects (such as via GitHub, personal website, or other platforms) that demonstrates expertise in building and deploying AI/ML models and NLP solutions
• Experience building data science or LLM-based products, with a demonstrable track record of your personal contributions to the codebase
• Demonstrated experience in the development, application and interpretation of complex economic and statistical modeling frameworks using Python or R
• Strong written and verbal communication skills, excellent research skills, and the ability to work well both autonomously and in a team environment
• Applicants must be authorized to work in the US without the need for employment-based visa sponsorship 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)