Applied AI & Data Science Intern

McKinsey

Atlanta (GA)

On-site

USD 108,000 - 132,000

Full time

5 hours ago
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Benefits offered by this job

Competitive salary
Benefits package

Job summary

McKinsey & Company is offering a full-time summer internship for master's students across data science, computer science, statistics, and related fields. The role focuses on learning applied AI and analytics by contributing to real client solutions from day one.

You will work with multidisciplinary teams and offices in Atlanta, Boston, Chicago, or New York. You will gain hands-on experience across machine learning, data analysis, and AI engineering, under close guidance, while developing

Qualifications

  • Currently pursuing a master's degree with graduation between Dec 2027 and Aug 2028.
  • Foundational knowledge of machine learning concepts and statistics; eager to build hands-on experience across ML and AI engineering.
  • Familiarity with GenAI tooling and agentic AI frameworks; interest in applying LLMs to knowledge work.

Responsibilities

  • Assist in building and evaluating analytical and AI solutions for client problems.
  • Work in cross-functional teams with data engineers, ML engineers, and industry experts.
  • Develop production-ready AI and analytics solutions and learn the end-to-end data science workflow.

Skills

Machine learning basics
Python
Cross-functional communication
English proficiency

Education

Master's degree (data science/computer science/statistics/mathematics)

Tools

GenAI tooling
Agentic AI frameworks
CI/CD concepts

Job description

McKinsey & Company is offering a full-time summer internship for master's students across data science, computer science, statistics, and related fields. The role focuses on learning applied AI and analytics by contributing to real client solutions from day one.

You will work with multidisciplinary teams and offices in Atlanta, Boston, Chicago, or New York. You will gain hands-on experience across machine learning, data analysis, and AI engineering, under close guidance, while developing

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