Data Scientist — Analyst Level

About This Role

McKinsey & Company is hiring Data Scientists at the Analyst level to join QuantumBlack, McKinsey's AI and advanced analytics division. You will work on client engagements where machine learning and causal inference are applied to strategic business problems in healthcare, retail, financial services, and operations.

Job Overview

• Job Title: Data Scientist — Analyst Level
• Company: McKinsey & Company
• Location: New York, NY / Chicago, IL / San Francisco, CA / Washington, DC / Boston, MA
• Job Type: Full-time
• Experience Level: Entry-level (0–2 years)
• Salary Range: $40–$56/hr
• Posted Date: 2026-06-04
• Application Deadline: 2026-07-04

Role Context

QuantumBlack data scientists work in small project teams of 3–6 people embedded within client organizations. You will typically join a 3–6 month engagement where the goal is a deployed model or analytical system, not a slide deck. McKinsey's problem-solving culture means you are expected to question assumptions, communicate findings to C-suite executives, and handle rapid pivots as client context evolves.

Key Responsibilities

• Build and deploy ML models for demand forecasting, pricing optimization, or risk scoring
• Perform causal inference and econometric analysis to isolate intervention effects
• Develop Python data pipelines and ML workflows using QuantumBlack's Kedro framework
• Present model findings and business implications to senior client leadership
• Work with client data engineers to access, clean, and structure operational datasets
• Contribute to McKinsey's internal AI accelerators and reusable modeling libraries

Requirements & Skills

• Bachelor's or Master's in Statistics, Computer Science, Operations Research, or Economics
• Strong Python skills — experience with ML pipelines, model training, and evaluation
• Familiarity with causal inference methods (DiD, IV, RDD) or econometrics is a strong plus
• Excellent communication skills — you must explain model logic to non-technical executives
• Comfort working in ambiguous, client-facing environments under tight timelines
• Willingness to travel to client sites, potentially 60–80% during active engagements

Benefits & Work Conditions

• $40–$56/hr with McKinsey performance bonus (typically 15–25% of base)
• Travel fully expensed when on client engagements
• Comprehensive health, dental, and vision insurance
• 401(k) with match and access to McKinsey's internal learning academy
• Rapid promotion track — Analyst to Associate in 2–3 years with strong performance

Who Should Apply

Technically strong graduates who also have the communication skills and intellectual confidence to work directly with senior executives. McKinsey DS roles are demanding but provide early exposure to strategic decision-making at the highest levels of global business — and a network that opens doors for decades.

About the Company

McKinsey & Company is the world's most prestigious management consulting firm, serving 90%+ of Fortune 500 companies. QuantumBlack, its AI division, is headquartered in London with major US offices. It builds and deploys ML systems for clients across every major industry and has developed widely used open-source tools including Kedro and CausalNex.

How to Apply

Apply through McKinsey Careers. Select QuantumBlack or Data Science under the Analytics track. The process includes an online test, a technical case interview involving a data problem, and a final round of analytical and behavioral interviews. Prepare to solve an open-ended dataset problem from scratch under time pressure.