# Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer | Multiple Locations Summer 2027 [KPMG](https://www.jorb.ai/firms/kpmg.md) · New York · United States · [Technology & Digital](https://www.jorb.ai/jobs/technology-digital.md) KPMG is hiring a Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer | Multiple Locations Summer 2027 in New York. Posted 2026-09-22; applications close 2026-11-21. **Apply**: https://www.kpmguscareers.com/jobdetail/?jobId=138629 Posted 15h ago. ## Role details At KPMG, we are defining the future of business by harnessing the full power of AI and digital innovation, delivering intelligent, data-driven solutions to help our clients navigate change and enhance their competitive edge. We foster a people-first culture that invests in continuous learning, providing the tools and training necessary to thrive, whether you are 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. ## Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer KPMG is currently seeking an Advisory Seasonal Intern for our Advisory practice in the Federal Technology Enablement role. ## 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, 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. ## Qualifications ### Required: - Must be enrolled in an accredited college or university pursuing a PhD in Data Science, Computer Science, Electrical/Computer Engineering, or an equivalent program. - Minimum GPA of 3.0 or above. - Applicant must be eligible for or possess a U.S. Government Security clearance. - Strong foundational skills in technical acumen, critical thinking, and agility; demonstrated ability to drive strategic outcomes with a professional and collaborative leadership approach in a dynamic environment. - Understanding of statistical analysis and machine learning fundamentals. - Strong proficiency in SQL and Python, including relevant open-source machine learning and data science libraries. - Must reside within a commutable distance of the office for this position and be responsible for personal transportation to and from office/client locations. Work location may be in the office, at client sites, or virtual/remote depending on business needs; if remote, must be located within the U.S. Client site locations may require travel and extended stays. - Applicant must be authorized to work in the U.S. without the immediate or future need for employment-based visa sponsorship. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity. ### Preferred: - Solid foundation in advanced graph or time series techniques. - Exposure to agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, or similar tool-using agent systems). - 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). ## Compensation and Employment Details California Salary Range: $86,000 - $100,000 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer and complies with all applicable laws regarding recruitment and hiring. All qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other protected category. KPMG recruits on a rolling basis, and candidates are considered as they apply until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role they are qualified and interested in. ## Applying to this role This Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer | Multiple Locations Summer 2027 role at KPMG runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. [Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=kpmg&job=6ab2df1b97c268dd61a2251b) ## More open roles at KPMG - [Associate, Financial Crimes](https://www.jorb.ai/jobs/6ab18d8b85fbf943125f5811.md) – New York, posted 1d ago - [Advisory Seasonal Intern, Federal Technology Enablement - PhD Data Science/Data Engineer | Multiple Locations Winter 2027](https://www.jorb.ai/jobs/6ab2df1b97c268dd61a22516.md) – New York, posted 15h ago - [Advisory Intern, Infrastructure & Projects Advisory – Construction/Engineering | Multiple Locations Summer 2027](https://www.jorb.ai/jobs/6ab2a75177fa98d546729e23.md) – New York, posted 19h ago - [Advisory Intern, Strategy - People Strategy | Multiple Locations Summer 2027](https://www.jorb.ai/jobs/6ab2a75177fa98d546729e08.md) – New York, posted 19h ago - [Advisory Intern, Infrastructure & Projects Advisory – Business/Finance | Multiple Locations Summer 2027](https://www.jorb.ai/jobs/6ab2a75177fa98d546729e5f.md) – New York, posted 19h ago ## Other open Technology & Digital roles - [Product Management & Innovation (PM&I) Intern - (Summer 2027)](https://www.jorb.ai/jobs/6aa46abebc4435992a29c67c.md) at [Bain](https://www.jorb.ai/firms/bain.md) – New York, posted 11d ago - [Data Science Analyst - Growth, Marketing & Sales](https://www.jorb.ai/jobs/6a7639d464421563517e1afd.md) at [McKinsey](https://www.jorb.ai/firms/mckinsey.md) – New York, posted 1mo ago - [Visualisation & Tools Analyst](https://www.jorb.ai/jobs/6aad99541878654077764683.md) at [OC&C](https://www.jorb.ai/firms/oc-c.md) – London, posted 4d ago - [Consultant / Senior Consultant - Digital Risk (SAP and GRC Technology), Risk Consulting,](https://www.jorb.ai/jobs/6aabd7cabc16f7431571d96e.md) at [EY](https://www.jorb.ai/firms/ey.md) – Singapore, posted 5d ago - [C&CA: Associate Application Consultant](https://www.jorb.ai/jobs/6ab235ed4506f959b533d654.md) at [Capgemini](https://www.jorb.ai/firms/capgemini.md) – New York, posted 1d ago --- Updated: 2026-09-23 Canonical: https://www.jorb.ai/jobs/6ab2df1b97c268dd61a2251b