Student Opportunities in Digital, Tech and Analytics

McKinsey careers: North America

Who we are

We’re looking for both digital business consultants and technologists [data scientists, software engineers, data engineers, and designers] that are excited to blend analytics, design, and engineering thinking with our McKinsey teams and experts to help our clients solve their top challenges.

From day one, you’ll be part of a multi-disciplinary McKinsey team that applies technology to help clients shape their strategy, transform their organizations, and build new businesses to create positive change.

Who we’re looking for

Stories from our team

We are looking for exceptional problem-solvers like you to join our McKinsey Digital community of more than 4,500 tech colleagues. You will have the ability to grow your expertise and accelerate your leadership in business and technology, exploring the opportunities that are most exciting to you along the way.

Data Engineering

You’ll drive decision-making by connecting insights from diverse data sources across an enterprise.

Data Science

You’ll transform data into actionable insights, maximizing emerging, advanced analytics programming languages and methodologies.


You’ll create groundbreaking user experiences using proofs of concept, UX/UI design and more.

Software Engineering

You’ll build and scale products and platforms in market, using the latest software development technologies and processes.

McKinsey’s digital, tech and analytics practices and teams

Build by McKinsey | McKinsey Digital: Build by McKinsey is the firm's technology delivery people unit—a global team of leading technologists, passionate designers, software, data and cloud engineers, technology architects, and product owners. Our diverse teams aren’t only technically minded, we are also strategic thinkers, creative problem solvers, and lifelong learners dedicated to creating lasting change.

From initial ideas, we help plan and build robust software solutions that help bring digital products to life. We act as true collaborators throughout the process, accelerating transformations and business growth. We use the latest technologies and our proven methodologies as a baseline and adapt how we work to match our clients’ requirements, preferences, and priorities.

ClienTech: ClienTech is a tech and data team of approximately 200 technologists who power McKinsey’s client-facing tech and data client service capabilities across the firm’s practices. We are one of the three pillars of McKinsey's tech ecosystem. Our vision is to transform McKinsey into a global leader of distinctive client service driven by tech and data. We empower cell-based asset teams with the right guidance, components, and capabilities to increase their rate of innovation and up their maturity for tech and data capabilities.

FinLab: We work with our clients to build custom solutions that combine deep industry expertise, quantitative analytics, and research, while helping them build capabilities needed for long-term success. FinLab provides end-to-end analytics support for clients through custom solutions primarily in the areas of revenue acceleration, smart operations, fraud identification, and customer experience. We evaluate large quantities of data, carry out complex analyses, build statistical and machine-learning models, and develop actionable recommendations for a wide range of banking and financial institutions.

GCI Analytics: GCI Analytics provides the granular benchmarking capabilities, market insights, and analytical expertise that banks need to transform portfolio strategies and maximize revenues across the entire customer life cycle. By uncovering and focusing on the right portfolio-optimization initiatives, commercial bank executives ensure that every decision they make positively affects their business.

Growth, Marketing & Sales: We work at the intersection of marketing, sales and consulting. Focusing on issues like transforming marketing and sales strategy and operations in the digital age, we help clients build capabilities and transform how companies go to market—helping them become more customer-centric organizations.

QuantumBlack: QuantumBlack, AI by McKinsey is our advanced analytics arm, operating at the intersection of strategy, technology and design to improve performance outcomes for organizations. In 2015, QuantumBlack became part of McKinsey & Company. Together, we combine advanced analytics, design and engineering expertise with McKinsey's industry knowledge and organizational change management experience.

Risk Dynamics: Organizations are making major investments to harness massive quantities of information. They are putting existing data to work that had been trapped in business units and functional silos, and they are managing new types of data coming at them from a wide variety of external sources. Risk Dynamics combines advanced tools and techniques with expertise in strategy formulation and organizational transformation to help clients optimize their risk exposures, improve performance, increase profits, and accelerate growth.

Social, Healthcare and Public Entities: Our teams’ mission is to measurably improve individuals' lives, livelihoods and health and create safer and more just communities around the world. We serve governments, donors, healthcare payors and providers and non-governmental organizations on topics including health, public finance, education, defense and economic development.

Our analytics group leverages a big-data analytics platform that includes 100 terabytes of integrated claim, encounter, clinical, consumer, and other data.

Join our info sessions

Sign up below for our Campus Expert Recruiting events. You’ll learn who you’ll work with, what you’ll do, and how to join—including stories from our own colleagues, and more on the application process.

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Explore our Careers site, and learn more about our inspiring McKinsey tech teams:

Analytics | Design | Digital

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Applications and Interviewing


The interview process will include a series of technical, personal experience, and problem-solving components—with a mix of phone, virtual, and in-person interviews.

  • Data Science: timed technical challenges, technical interviews, problem-solving interviews, and personal experience interviews
  • Data Engineering and Software Engineering: timed technical challenges, coding/pair programming exercises, personal experience interviews, and problem-solving exercises
  • Design: portfolio reviews, technical interviews, personal experience interviews, and design challenges

To learn more about our interview process, please see our Careers site.

Interested in other McKinsey opportunities?

Explore our Students page for more on non-technical, generalist, and practice consulting student opportunities. If you’ve already graduated, please view our Experienced Professionals page.

Full Time and Internship Opportunities

Internships are now open to students graduating in the 2023-2024 academic year, and full-time positions are open to students graduating in the 2022-2023 academic year. Please see below for more information:

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