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McKinsey & Company

Data Scientist - FinLab

Manhattan, NY · On-site

McKinsey & Company is a global management consulting firm that drives lasting impact and builds long-term capabilities with clients. In this role, you will support the FinLab team as a data scientist ...

McKinsey & Company

Office Services Administrator

Boston, MA · On-site

$19.50 - $27/hr

McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation ...

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How much do mckinsey jobs pay per year?

As of Jul 13, 2026, the average yearly pay for mckinsey in the United States is $97,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $112,000.00 per year, depending on experience, location, and employer.

Is it hard to get a job in McKinsey?

Getting a job at McKinsey is highly competitive, with a rigorous selection process that includes multiple interview rounds, case studies, and assessments. Candidates typically need strong academic credentials, problem-solving skills, and relevant experience to succeed.

What is the difference between Mckinsey vs BCG Analyst?

AspectMckinseyBCG Analyst
Required credentialsBachelor's degree, often MBA or advanced degrees preferredBachelor's degree, often MBA or advanced degrees preferred
Work environmentFast-paced consulting projects, client-facing roles, collaborative teamsSimilar client-facing consulting work, team-oriented environment
Employer and industry usageTop-tier management consulting firm, corporate strategyLeading management consulting firm, strategic advisory services
Common search and comparison intentUnderstanding roles, career paths, and work scopeComparing consulting firms, career opportunities, and work culture

Both Mckinsey and BCG Analysts share similar educational backgrounds, work environments, and industry usage. They are entry-level roles in top management consulting firms focused on strategic projects and client advisory. The main differences often lie in firm culture and specific project focus, but overall, they serve comparable functions in the consulting industry.

What are some common challenges consultants face when working at McKinsey, and how can they overcome them?

Consultants at McKinsey often encounter challenges such as managing tight project deadlines, balancing multiple client expectations, and quickly adapting to different industries and business problems. Success in this environment requires strong time management, proactive communication with both clients and team members, and a willingness to seek feedback and support from colleagues. Many consultants find that leveraging McKinsey's robust knowledge-sharing resources and mentorship opportunities helps them navigate these challenges and develop rapidly in their roles.

What is the 80/20 rule at McKinsey?

At McKinsey, the 80/20 rule refers to focusing on the 20% of tasks or issues that generate 80% of the results, helping consultants prioritize high-impact work. It encourages efficiency by identifying key drivers and avoiding unnecessary effort on less significant activities.

What is a starting salary at McKinsey?

The starting salary for entry-level consultants at McKinsey typically ranges from $90,000 to $110,000 annually, depending on location and educational background. Additional compensation may include performance bonuses and benefits, with opportunities for rapid advancement and skill development in a competitive environment.

What is McKinsey & Company and what do they do?

McKinsey & Company is a global management consulting firm that helps organizations improve their performance and solve complex business problems. The firm advises companies, governments, and institutions on strategic, operational, organizational, and technological issues. McKinsey consultants work closely with clients to develop strategies, optimize processes, and drive transformation across various industries. The company is known for its rigorous problem-solving approach, data-driven insights, and influential business research.

Who pays more, McKinsey or Deloitte?

McKinsey consultants generally earn higher base salaries and total compensation compared to Deloitte, especially at the associate and consultant levels. McKinsey's rigorous interview process and focus on strategic problem-solving often lead to higher pay scales for entry-level and experienced roles.

What are the key skills and qualifications needed to thrive as a McKinsey consultant, and why are they important?

To thrive as a McKinsey consultant, you need strong analytical skills, problem-solving abilities, and a degree from a top university, often supported by an MBA or relevant advanced degree. Proficiency in Excel, PowerPoint, data analytics tools, and familiarity with business intelligence systems is typically required. Exceptional communication, teamwork, and adaptability make candidates stand out in high-stakes client environments. These skills are crucial for delivering insightful recommendations, building client trust, and driving impactful results in complex business scenarios.
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Data Scientist II - QuantumBlack, AI by McKinsey (Critical Industries)

QuantumBlack, AI by McKinsey

Chicago, IL • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
QuantumBlack, AI by McKinsey is focused on driving lasting impact and building long-term capabilities with clients. The Data Scientist II will collaborate with clients to develop advanced analytics and AI solutions, optimize code, and solve complex business challenges across various industries.
Responsibilities:
• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models—from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you’ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
• Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.
Qualifications:
Required:
• U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
• Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must
• Knowledge in applying machine learning solution to real problems with complex and/or big amounts of data.
• Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
• Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Willingness to travel
Preferred:
• Good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus
• R, SPSS, SAS (nice to have)
• Software Engineering is a plus
• Experience deploying technology applied to business problems is a plus
Company:
We are QuantumBlack, AI by McKinsey. Founded in 2009, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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