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Advisory Intern, Lighthouse - Data, Analytics & AI - Data Scientist and Modeler | Summer 2023

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Advisory Intern, Lighthouse - Data, Analytics & AI - Data Scientist and Modeler | Summer 2023

Boston, MA +12 locations
  • Responsibilities

    Innovate. Collaborate. Build. Create. Solve. The KPMG Digital Lighthouse is KPMG's award-winning Analytics & AI Center of Excellence recognized by clients and leading analyst firms in the US and globally. The KPMG Lighthouse is a curation of specialized technical capabilities and domain experts working across the digital landscape: applied data science, AI, data engineering and insights, software engineering, automation, and big data. Here, you'll work with a diverse team of professionals to explore and build solutions for clients in a multiplatform environment. You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world.

    At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.

    KPMG is currently seeking an Advisory Intern for our Lighthouse practice in Consulting.


    • Assist in developing code to prepare, extract and enrich a variety of structured and unstructured data sources, working with the business to understand available resources and constraints around data; perform exploratory data analysis, generate and test working hypotheses and uncover interesting trends and relationships

    • Help build and implement machine learning algorithms to analyze and model structured or unstructured data; understand benefits of different approaches to decide on tools, features and methodology for the business problem; leverage detailed knowledge of advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics and operations research

    • Communicate technical details of solution, including mathematical formulations, alternatives and impact on modeling approach to business stakeholders across industries (technology, financial services, emerging tech, government agencies - federal, state and local and utilities)

    • Create production quality data pipelines and ML pipelines that can be deployed at scale; make use of in-house platforms in solution development and recommend and develop new capabilities

    • Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain and public policy); identify trends, patterns and insights for data-driven decision making

    • Work in multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate 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


    • 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

    • Must have a current/most recent GPA of 3.00 or above

    • Excellent problem-solving skills, verbal/written communication and ability to explain technically complex concepts to business stakeholders

    • Technical understanding of data preparation approaches and machine learning algorithms; experience with performing data science from data discovery, cleaning, model selection, validation, to deployment

    • Exposure to coding artificial intelligence methods using object-oriented programming in a software development process and ability to restructure, refactor and optimize code for efficiency

    • Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code

    • Ability to travel and/or work on-site at client premises as needed, at times with relatively short notice

    • 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 (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package.

    KPMG is an affirmative action-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, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.

    KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

  • Industry
    Professional Services
  • Locations
    Los Angeles, CA • Irvine, CA • San Francisco, CA • Santa Clara, CA • Denver, CO • Atlanta, GA • Chicago, IL • Boston, MA • Columbus, OH • Dallas, TX • Austin, TX • McLean, VA • Seattle, WA
  • About Us

    KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. With 75+ offices and more than 40,000 employees and partners throughout the US, we’re leading the industry in new and exciting ways. Providing innovative business solutions and audit, tax, and advisory services to many of the world’s largest and most prestigious organizations, our size and strength make us much more agile and responsive to changing trends. By helping other organizations mitigate risk and grasp opportunities, we’re driving positive, sustainable change for clients, our people, and society at large.