Advisory Intern, Federal Technology Enablement Data Science/Data Engineer | McLean Summer 2027

KPMG Financial Reporting View (FRV); McLean (VA); Hybrid; USD 18,000 - 36,000; Part time

Job summary

KPMG is seeking an Advisory Intern to join our Advisory practice in the United States. You will collaborate with cross-functional teams to tackle federal client challenges, applying data-driven approaches and contemporary technologies to improve performance.

You will build models, create dashboards, perform data analyses, and communicate methods and results to stakeholders. Eligible students pursuing STEM degrees with strong GPA and security clearance eligibility are encouraged to apply.

Qualifications

• Must be enrolled in an accredited college or university.
• GPA 3.0 or above.
• Eligible for U.S. Government security clearance.
• Experience applying AI/ML to business problems.

Responsibilities

• Collaborate with cross-functional teams to identify business problems and develop processes and recommendations for Federal clients.
• Iterate models and communicate results with visuals, reports and presentations.
• Develop data analytics and ML features, deploy models at scale.
• Prepare and enrich diverse data sources and create reproducible visualizations.
• Explain mathematical formulations and impact to business stakeholders.
• Translate analytics problems into technical approaches for actionable recommendations.

Skills

Python

R

SQL

Java

Tableau

PowerBI

Kubernetes

Docker

OpenShift

Flask

Education

Bachelor’s/Master’s/PhD in Data Science/CS/Math/Engineering

Tools

SQL Server

Oracle

PostgreSQL

Terraform

Ansible

Chef

Puppet

Job description

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.

KPMG is currently seeking an Advisory Intern for our Advisory practice.

Responsibilities

• Collaborate with multi-disciplinary and cross-functional teams to identify business problems and assist in the development of processes and recommendations to help our Federal clients drive enterprise performance using available technology as an enabler
• Rapidly iterate models and results to refine and assess approach; Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks and documenting assumptions while communicating results and educating others through insightful visualizations, reports and presentations
• Perform explanatory data analyses, develop, manage and execute data analytics experimentations, analyze historical data, generate, engineer and evaluate machine learning features, identify patterns in data then execute machine learning, natural language and statistical analysis methods, define and apply metrics to evaluate performance of machine learning and data science models and deploy models and data science artifacts at scale
• Develop code to prepare, extract and enrich a variety of structured and unstructured data sources, working with our clients to understand available resources and constraints around data; perform explanatory data analyses, prepare and analyze historical data and identify patterns; perform data analytics and develop complex dashboards and reproducible visualizations
• Communicate technical details of recommendation, including mathematical formulations, alternatives and impact on modeling approach to business stakeholders
• Translate advanced business analytics problems into technical approaches that yield actionable recommendations; identify trends, patterns and insights for data-driven decision making

Qualifications

• Must be enrolled in an accredited college or university and pursuing the following degrees/majors; Bachelors, Masters or PhD in Data Science, Computer Science, Applied Statistics, Applied Mathematics, Engineering, or equivalent program from an accredited college or university
• Must have a current/most recent GPA of 3.0 or above
• Applicant must be eligible for or possess a U.S. Government Security clearance
• Ability to apply artificial intelligence and machine learning techniques to achieve concrete business goals; Technical understanding of data preparation approaches, as well as statistical analysis, machine learning, natural language processing and artificial intelligence methods
• Proficiency with programming languages such as Python, R, Java, SQL and their open-source packages/libraries
• Familiarity with commercial data visualization tools (Tableau, PowerBI and QlikView) and/or open-source web frameworks and UI platforms (e.g. Flask, Shiny, Django, Dash).
• Experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is a preferred; Knowledge of cloud platforms and services, Web/RESTful service development, HTML5, JavaScript/Angular/React/Redux and strong SQL skills with a working knowledge of relational databases such as SQL Server, Oracle, PostgreSQL, etc. to retrieve, transform and analyze financial datasets is preferred.
• 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
• Ability to leverage common business technologies, including MS Office (with an emphasis on Excel) and AI, and quickly learn KPMG tools and applications used by our clients; Strong communication, organization and relationship-building skills, with the ability to apply professional judgment and skepticism, manage priorities across multiple tasks and deliver high-quality work in a professional services capacity
• 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.
• 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).

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=UTAADVIC2_8_24

KPMG offers a comprehensive compensation and benefits package. 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.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. 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.