Data Scientist: AI, GenAI & Advanced Analytics

McKinsey & Company; Boston (MA); On-site; USD 122,000 - 125,000; Full time

Benefits offered by this job

Continuous learning

Voice that matters

Global community

World-class benefits

Job summary

McKinsey & Company seeks a student-ready data scientist to join a multidisciplinary team delivering advanced analytics and AI solutions. You will translate business problems into analytical challenges and evaluate ML approaches under guidance, contributing to robust, scalable results for diverse clients.

You will collaborate with data scientists, data engineers, software engineers, and industry experts, gaining exposure to GenAI, agentic AI, and state-of-the-art analytics across industries.

Qualifications

• Upcoming graduation between December 2026 and August 2027 with a relevant degree.
• Experience applying ML, statistics, optimization, or GenAI to business problems.
• Proficiency in Python and SQL, including the Python AI stack.
• Ability to translate business problems into analytical challenges and evaluate models.
• Familiarity with Generative AI tools and agentic AI frameworks.

Responsibilities

• Work as a core member of a multidisciplinary team to build analytics and AI solutions.
• Translate business challenges into analytical problems and develop robust solutions.
• Collaborate with data scientists, engineers, and industry experts across functions.
• Deliver solutions that drive measurable impact for clients.

Skills

Machine learning

Statistical modeling

Optimization

GenAI

Python

SQL

Communication

English

Travel willingness

Education

Master's/Bachelor's/PhD in CS/ML/AI or related field

Tools

CI/CD

Job description

McKinsey & Company seeks a student-ready data scientist to join a multidisciplinary team delivering advanced analytics and AI solutions. You will translate business problems into analytical challenges and evaluate ML approaches under guidance, contributing to robust, scalable results for diverse clients.

You will collaborate with data scientists, data engineers, software engineers, and industry experts, gaining exposure to GenAI, agentic AI, and state-of-the-art analytics across industries.