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About the Role

KPMG is seeking an Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer for their Advisory practice. This role involves conducting research and developing AI-powered capabilities to solve real-world problems and delivering intelligent, data-driven solutions for clients.

Responsibilities

Conduct research and develop AI-powered capabilities—including anomaly detection models and agentic AI architectures—to solve real-world problems, identify systemic patterns and decompose complex queries into sub-tasks
Develop reproducible data pipelines to prepare and enrich data and design large-scale multi-relational knowledge graphs to engineer and evaluate complex graph-structured features
Research and implement post-hoc explainability methods that produce clear rationales for flagged entities, supporting iterative human-in-the-loop refinement for AI models
Iterate rapidly on models and experimental designs in a fast-paced research environment, while rigorously documenting assumptions and actively managing project risks
Partner with diverse teams—including data scientists, engineers, policy staff and federal client stakeholders—to translate advanced research outcomes into actionable program integrity recommendations
Clearly communicate mathematical formulations, algorithmic trade-offs and research findings to both technical collaborators and non-technical business stakeholders using insightful visualizations, reports and presentations

Requirements

Must be enrolled in an accredited college or university and pursuing a PhD program in Data Science, Computer Science, Electrical/Computer Engineering, or equivalent program
Minimum GPA of 3.0 or above
Applicant must be eligible for or possess a U.S. Government Security clearance
Strong technical, business acumen, critical thinking and agility skills
Demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment
Understanding of statistical analysis and machine learning fundamentals
Solid foundation in advanced graph or time series techniques preferred
Strong proficiency in SQL, Python and relevant open-source machine learning and data science libraries
Exposure to agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, or similar tool-using agent systems) and familiarity with data visualization tools (Tableau, Power BI) or open-source frameworks (Dash, Plotly, Shiny)
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred
Must reside within a commutable distance of the office for this position and be responsible for your own transportation
Work location may be in the office, at client sites, or virtual/remote depending on business need
Must be located within the U.S. when working remotely
Client site locations may require travel and overnight/extended stay
Applicant must be authorized to work in the U.S. 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
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Skills

AI-powered capabilities
Anomaly detection models
Agentic AI architectures
Data pipelines
Multi-relational knowledge graphs
Graph-structured features
Post-hoc explainability methods
Human-in-the-loop refinement
SQL
Python
Machine learning libraries
Data visualization tools
Agentic AI frameworks
Cloud platforms
Containerization technologies

Location

U.S.

Work Type

Onsite
Client sites
Virtual/Remote

Experience Level

Early Career
PhD program

Education Level

PhD program in Data Science, Computer Science, Electrical/Computer Engineering, or equivalent program

Salary/Compensations

$86000 - $100000

Benefits

Comprehensive compensation and benefits package

About the Company

At KPMG we are not only keeping pace with the future of business; we are defining it. Harnessing the full power of AI and digital innovation, we deliver intelligent, data-driven solutions to help our clients navigate change and transform their competitive edge. Our people-first approach makes this possible. KPMG invests in continuous learning by providing the tools and training for you to thrive within a culture that fosters growth and collaboration, whether you're launching your career or bringing decades of experience. Join an inclusive team that inspires excellence, delivers meaningful impact, and empowers you to shape your own future.

Equal Opportunity

KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws.