Advisory / Early Career / Internship
Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer | McLean Summer 2026
McLean, VA
133774
Early Career
If you are currently pursuing college coursework or have completed a bachelor’s degree or higher in the past 12 months. If it has been more than 12 months since you have graduated from an undergraduate or graduate degree program you should explore experienced career opportunities at KPMG Careers: Experienced Professionals.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. You are encouraged to apply expeditiously to one role for which you are qualified and is of the greatest interest. You are limited to a maximum of two active applications. Give serious thought to your location preference. We strongly recommend applying to the location where you want to build your life and career long-term.
Start Season & Year: Summer 2026
Earliest Graduation Date: Dec 2026
Latest Graduation Date: Sep 2032
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.
- 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
- Must be enrolled in an accredited college or university and pursuing the following degrees/majors; 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 in 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
- Strong proficiency in SQL, Python and relevant open-source machine learning and data science libraries; understanding of statistical analysis and machine learning fundamentals; solid foundation in advanced graph or time series techniques preferred
- 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, such as personal vehicle or public transportation, to get to and from office / client locations to satisfactorily fulfill your job duties, as determined by your practice leadership; work location may be in the office, at client sites, or virtual/remote depending on business need; you 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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=UTAADVIC2_8_24
You should match your educational credentials, graduation date, experience and interests with those required in the job posting.
You can easily search job postings and apply quickly for any job, for which you are eligible, on the KPMG website. Click “Job Search” in the toolbar above to get started. You’ll need 10 minutes, your resume and unofficial transcripts.
Yes! You will still need your resume and you will be able to upload it during the application process.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to one role for which they are qualified, that is of the greatest interest. You won't be able to interview for multiple positions simultaneously. If you're unsure about what to pursue, take the time to research our practice areas.
KPMG’s internship program is designed to convert high performing interns to fulltime opportunities in the geographic location of the internship. This allows interns to build beneficial relationships and knowledge with KPMG professionals, clients, and peers. As a result, you should pursue an internship in the location where you would like to build your life and career long-term after graduation. Location changes cannot be guaranteed at the conclusion of the internship.
Interview selections are made as quickly as possible, typically within 2 weeks of applying.
You’ll participate in two live video interviews.
Offer decisions are typically made within two weeks of interviewing. Interviews typically occur on a rolling basis until the opportunity is filled, and within one-two weeks of being selected to interview. Specifics vary by KPMG office, but you'll hear promptly if we are extending a job offer or an invitation to visit KPMG in person.