Data Scientist – GenAI & AI for Business Impact

McKinsey & Company; Dallas (TX); 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 current students for a full-time data science opportunity based in one of our North America offices. You’ll join a cross-disciplinary team to build advanced analytics and AI solutions that address real business challenges.

You will translate complex problems into analytical tasks, develop and evaluate models across ML, GenAI, and optimization, and grow your capabilities through mentorship and hands-on client work.

Qualifications

• Professional experience applying ML, statistical modeling, optimization, or GenAI techniques to real business problems.
• Proficiency in Python and SQL, including the Python AI stack.
• Translate business problems into analytical challenges and build/evaluate models with guidance.
• Develop familiarity with Generative AI tools and simple agentic AI frameworks.

Responsibilities

• Translate business challenges into analytical problems and develop/evaluate solutions across ML, optimization, GenAI, and agentic AI systems.
• Collaborate with data scientists, data engineers, software engineers, and industry experts to deliver AI solutions and meet data quality standards.

Skills

Machine learning

Statistical modeling

GenAI

Strong communication

Willingness to travel

Education

Master's, Bachelor's or PhD in CS/ML/Applied statistics/mathematics/engineering/AI or related field

Tools

Python

SQL

Job description

McKinsey & Company seeks current students for a full-time data science opportunity based in one of our North America offices. You’ll join a cross-disciplinary team to build advanced analytics and AI solutions that address real business challenges.

You will translate complex problems into analytical tasks, develop and evaluate models across ML, GenAI, and optimization, and grow your capabilities through mentorship and hands-on client work.