Public Sector Data Science & AI Specialist

McKinsey; Dallas (TX); On-site; USD 173,000 - 211,000; Full time

Benefits offered by this job

World-class benefits

Job summary

McKinsey & Company in Dallas is seeking a data science professional to join our SHaPE practice and work with teams of consultants, data scientists, and industry experts.

You will build data science and AI solutions for government, public health, healthcare, and social sector clients, translating problems into ML tasks, building pipelines, and evaluating models. Half of your time will be hands-on work, the rest will involve advising clients on adoption, governance, and value creation.

Qualifications

• Bachelor's degree in a quantitative field is required; advanced degree is a plus.
• 4+ years of professional or academic experience applying ML, statistical modeling, or optimization to real problems.
• Proficiency in Python and SQL; foundations in ML and statistics; curiosity about emerging methods including generative AI and agentic AI.
• Interest in 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 think about fairness and explainability.
• Ability to explain complex technical ideas clearly to technical and non-technical audiences.
• Proven leadership experience.
• Ability to work collaboratively with people at all levels.
• Commitment to high standards and integrity.
• Willingness to travel up to 80%.

Responsibilities

• Serve government agencies, public health, healthcare, and social sector clients, partnering with clients at all levels.
• Build data science and AI solutions and advise on adoption, governance, and value creation.
• Translate client problems into ML problems and build data pipelines and features.
• Apply MLOps and LLMOps practices including version control, experiment tracking, testing, and monitoring.
• Help clients shape data science capabilities, roadmaps, and operating models.
• Explain analytical results to non-technical audiences and translate insights into actions.

Skills

Python

SQL

Machine Learning

Generative AI

Public Health Interest

Quant & Qual Analytics

Quality & Risk Mindset

Communication

Leadership

Teamwork

Standards & Integrity

Travel up to 80%

Education

Bachelor's degree in CS/Statistics/Math/Engineering/Economics/Data Science

Job description

McKinsey & Company in Dallas is seeking a data science professional to join our SHaPE practice and work with teams of consultants, data scientists, and industry experts.

You will build data science and AI solutions for government, public health, healthcare, and social sector clients, translating problems into ML tasks, building pipelines, and evaluating models. Half of your time will be hands-on work, the rest will involve advising clients on adoption, governance, and value creation.