Public Sector Data Scientist & AI Solutions Lead

McKinsey

Miami (FL)

On-site

USD 173,000 - 211,000

Full time

11 days ago

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Job summary

McKinsey & Company’s Social, Healthcare, and Public Entities (SHaPE) practice in the United States seeks talented data scientists, engineers, and consultants to deliver high-impact AI solutions for government, public health, and social sector clients. You will join cross-functional teams across offices, including Miami, to solve challenging problems.

The role blends hands-on technical work—ML, data pipelines, and AI models—with advisory tasks on analytics maturity, governance, and responsible

Qualifications

  • US citizenship required
  • Bachelor's degree in computer science, statistics, mathematics, engineering, economics, data science, or a related quantitative field required; advanced degree is a plus (if you are less than 8 years out of undergrad, please include your GPA on your resume)
  • 4+ years of professional or academic experience applying machine learning, statistical modeling, or optimization to real problems
  • Proficiency in Python and SQL; foundations in machine learning and statistical modeling, and curiosity about emerging methods, including generative AI and agentic AI
  • Interest in the public, healthcare, or social sectors; experience in these sectors is a plus
  • Demonstrated aptitude for both quantitative and qualitative analysis
  • A quality and risk mindset: you check your own work, document assumptions and limitations, and think carefully about fairness, explainability, and the appropriate use of AI
  • Ability to explain complex technical ideas clearly, both verbally and in writing, to technical and non‑technical audiences
  • Proven record of leadership at work or through extracurricular activities
  • Ability to work collaboratively in a team and effectively with people at all levels of an organization
  • Commitment to high standards and core values
  • Willingness to travel up to 80%

Skills

Python
SQL
Machine Learning
Statistical Modeling
Optimization
Generative AI
Agentic AI
Communication
Leadership

Education

Bachelor's degree in computer science, statistics, mathematics, engineering, economics, data science

Job description

McKinsey & Company’s Social, Healthcare, and Public Entities (SHaPE) practice in the United States seeks talented data scientists, engineers, and consultants to deliver high-impact AI solutions for government, public health, and social sector clients. You will join cross-functional teams across offices, including Miami, to solve challenging problems.

The role blends hands-on technical work—ML, data pipelines, and AI models—with advisory tasks on analytics maturity, governance, and responsible

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