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Data Scientist Mckinsey Jobs (NOW HIRING)

McKinsey & Company

Senior Data Scientist

Atlanta, GA · On-site

You will partner with QuantumBlack Labs data scientists, ML engineers, and product managers, as ... You will contribute to McKinsey's growing body of healthcare AI knowledge; writing papers ...

New

Jerry Insurance Agency, LLC

Data Scientist

New York, NY · On-site

$140K - $160K/yr

Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ... They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform ...

Arch

Data Scientist

San Francisco, CA · On-site

Role Overview We're hiring a Data Scientist to help architect the intelligence layer of Arch . You ... McKinsey, and studied at Stanford. Known for breaking through walls and never taking no for an ...

McKinsey & Company, Inc.

$69.64 - $92.85/hr

Working in cross‑functional Agile teams, you'll collaborate closely with Data Scientists, Machine ... S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All ...

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Data Scientist Mckinsey information

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$243.5K

How much do data scientist mckinsey jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data scientist mckinsey in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data scientist at McKinsey do?

A Data Scientist at McKinsey leverages advanced analytics, machine learning, and statistical techniques to solve complex business problems for clients. They work closely with consultants and clients to interpret large data sets, build predictive models, and develop actionable insights that drive strategic decision-making. Data Scientists at McKinsey often collaborate in multidisciplinary teams and contribute to innovative solutions across various industries, helping organizations harness data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data scientist at McKinsey?

To thrive as a Data Scientist at McKinsey, you need strong analytical and statistical skills, advanced proficiency in programming languages like Python or R, and typically a degree in a quantitative field such as computer science, mathematics, or engineering. Familiarity with machine learning frameworks, data visualization tools (e.g., Tableau), and cloud platforms (e.g., AWS, Azure) is commonly required, along with certifications in data science or analytics. Exceptional problem-solving abilities, communication skills, and the ability to work collaboratively with diverse teams set top performers apart. These competencies are crucial for delivering data-driven insights and solutions that support McKinsey's clients in making strategic business decisions.

How does a data scientist at McKinsey typically collaborate with consultants and clients during a project?

As a Data Scientist at McKinsey, you will regularly work in cross-functional teams alongside consultants, engineers, and client representatives. Your role involves translating complex business problems into analytical tasks, sharing insights with non-technical stakeholders, and iterating solutions based on client feedback. Effective communication and the ability to clearly present data-driven recommendations are essential, as you'll often participate in client meetings and workshops. This collaborative environment not only strengthens your technical skills but also enhances your business acumen as you contribute directly to decision-making processes.

What is the difference between Data Scientist Mckinsey vs Data Analyst Mckinsey?

AspectData Scientist MckinseyData Analyst Mckinsey
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often advanced certificationsBachelor's in related fields; certifications are a plus but less common
Work EnvironmentComplex data modeling, predictive analytics, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageConsulting firms like McKinsey, finance, tech, healthcareBusiness units within companies, consulting projects

Data Scientist Mckinsey focuses on advanced analytics, machine learning, and predictive modeling, requiring higher technical skills and often advanced degrees. Data Analyst Mckinsey handles data reporting, visualization, and basic analysis, with a focus on interpreting data for decision-making. Both roles are vital but differ in complexity and technical depth.

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Data Scientist Mckinsey jobs near you
Infographic showing various Data Scientist Mckinsey job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist - Scientific AI

McKinsey & Company

Boston, MA • On-site

Full-time

Re-posted 14 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Job Summary:
McKinsey & Company is a global leader in management consulting, and they are seeking a Senior Data Scientist to join their scientific AI team. The role involves developing AI and machine learning models, supporting client discussions, and contributing to the firm's scientific AI offering while ensuring statistical validity and outputs of analytics models.
Responsibilities:
• Developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.
• Bringing distinctive statistical, machine learning, and AI competency to complex client problems.
• Helping build and shape McKinsey’s scientific AI offering.
• Playing a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets.
• Working in a multi-disciplinary team and building the firm’s reputation in the area of expertise.
• Ensuring statistical validity and outputs of analytics, AI/ML models, and translating results for senior stakeholders.
• Writing optimized code to advance our Data Science Toolbox and codifying analytical methodologies for future deployment.
• Working with cutting edge AI teams on research and development topics in a start-up like environment, serving as a Senior Data Scientist in a technology development and delivery capacity.
• Supporting the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives.
• Delivering distinctive capabilities, models, and insights through work with client teams and clients.
Qualifications:
Required:
• Master’s degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
• ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
• Proven experience applying machine learning techniques to solve business problems
• Ability to write production code and object-oriented programming
• Proven track record of end-to-end ownership of independent workstreams
• Good presentation and communication skills (both verbal and written), with the ability to explain complex analytical concepts to people from other fields/non-technical stakeholders
• Proven experience advising external parties and/or functions
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
Preferred:
• Experience with version control (GitHub)
• Strong programming experience in python (R, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, stats models, pymc, pytorch/tf/keras, langchain)
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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