Data Science Intern: Real AI & Analytics Impact

Wayne State University; Town of Boston, Northern (NY, KY); Hybrid; USD 28,000 - 41,000; Full time

Job summary

McKinsey & Company invites masters students to an 8‑12 week data science internship in the United States (Atlanta/Boston/Chicago/New York). You will work with a multidisciplinary team to build AI solutions, learn through guided tasks, and contribute to real client projects from day one.

You will gain practical experience across ML, data analysis, and AI engineering, developing skills while collaborating with data engineers and technologists in a high-impact environment.

Qualifications

• Pursuing a master's degree in a related field with a Dec 2027–Aug 2028 graduation date.
• Foundational knowledge of machine learning concepts and statistics, eager to build hands-on experience.
• Basic data quality assessment and exploratory data analysis with guidance.
• Familiarity with GenAI tooling and agentic AI frameworks, eager to learn applications for tasks.
• Ability to write modular code with guidance; knowledge of software development, CI/CD basics.
• Quality and risk mindset; awareness of modeling risks like fairness and explainability.
• Experience working in cross-functional teams; strong collaboration.
• Exceptional time management for a largely autonomous environment.
• Strong communication skills in English and local office languages.

Skills

Master's student

Machine learning basics

Data analysis

GenAI tooling

Python or R

Software development basics

Cross-functional collaboration

Time management

English communication

Education

Master's degree in data science, CS, stats, math

Graduation date Dec 2027–Aug 2028

Tools

Python

R

Git

Job description

McKinsey & Company invites masters students to an 8‑12 week data science internship in the United States (Atlanta/Boston/Chicago/New York). You will work with a multidisciplinary team to build AI solutions, learn through guided tasks, and contribute to real client projects from day one.

You will gain practical experience across ML, data analysis, and AI engineering, developing skills while collaborating with data engineers and technologists in a high-impact environment.