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Data Scientist

San Francisco, CA

As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative ...

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VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Overview VTG is looking for a Data Scientist in Chantilly, VA. (Note: Contingent upon program award). Data Scientist I supports government and program teams by assisting with data analysis ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Overview VTG is looking for a Data Scientist in Chantilly, VA. (Note: Contingent upon program award). Data Scientist I supports government and program teams by assisting with data analysis ...

Brewer Science

Data Scientist

Rolla, MO · On-site

They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model ...

Arch

Data Scientist

San Francisco, CA · On-site

San Francisco | In-Person 3-4 Days/Week About Arch Arch powers frontline industries with cutting ... McKinsey, and studied at Stanford. Known for breaking through walls and never taking no for an ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

As a Data Scientist, you will bring your passion and skills in data analysis and AI/ML to design ... Candidate must live in or be willing to live Huntsville, AL. * Candidate must be willing to travel ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

Leidos has a new and exciting opportunity for a Data Scientist in our National Security Sector ... Candidate must live in or be willing to live Huntsville, AL. * Candidate must be willing to travel ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

Leidos has a new and exciting opportunity for a Data Scientist in our National Security Sector ... Candidate must live in or be willing to live Huntsville, AL. * Candidate must be willing to travel ...

Victory

Data Scientist

Austin, TX · On-site

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Significant experience in data mining, machine-learning and operations research * Experience with ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Significant experience in data mining, machine-learning and operations research * Experience with ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills ...

Applied Information Sciences

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... The Data Scientist will help develop and deploy AI models from ideation to production. Required For ...

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How much do live in data scientist mckinsey jobs pay per year?

As of Aug 9, 2026, the average yearly pay for live in 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 is the difference between Live In Data Scientist Mckinsey vs Data Scientist?

AspectLive In Data Scientist MckinseyData Scientist
Work EnvironmentOn-site, often in client offices or residential settingsOffice-based, remote, or hybrid options
CredentialsTypically requires advanced degrees in data science, statistics, or related fieldsSimilar educational background, often with additional certifications
Industry UsageConsulting firms like McKinsey, focusing on client projectsVarious industries including tech, finance, healthcare
Search IntentJobs involving on-site or live-in data science roles at consulting firmsGeneral data science roles across industries

Live In Data Scientist Mckinsey roles involve on-site, often residential work within consulting projects, requiring specific credentials and industry experience. In contrast, Data Scientist positions are more flexible, available in multiple industries, and may offer remote options. The key difference lies in the work environment and the nature of client engagement.

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Data Scientist - FinLab

McKinsey & Company

Manhattan, NY • On-site

Full-time

Re-posted 18 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 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 to analyze large amounts of data, develop AI-enabled custom software tools, and advocate for the use of data and analytics to enhance client outcomes.
Responsibilities:
• Analyze large amounts of data to drive insights that will be used to make strategic decisions for our clients.
• Partner with client teams across project settings to develop AI-enabled custom software tools that will be implemented directly within our client organizations.
• Guide teams on the proper selection of datasets and analytic strategies to ensure we increase the value of impact we deliver to our clients.
• Enable collaboration across other practices, analytics groups, and technical teams to ensure efforts are synergistic and cutting-edge.
Qualifications:
Required:
• Bachelor’s or advanced professional degree in engineering, computer science, statistics, or data science; master’s degree is a plus with less than 2 years of work experience
• 3+ years of professional experience as a data analyst or data scientist
• Skilled in coding languages (e.g., SQL, Python, R), visualization/BI tools (e.g., Tableau, PowerBI) and modeling (e.g., regression, forecasting, decision trees)
• Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data
• Experience with, or a strong desire to master, modern AI development frameworks like Langchain for orchestrating autonomous workflows, platforms like Amazon Bedrock for leveraging foundation models, and libraries like PydanticAI for ensuring structured, reliable data outputs.
• Comfortable working with Git, CI/CD tools, and modern development workflows
• Highly inquisitive and creative problem-solver to help colleagues and clients draw new insights and impact out of data; excited about working in a cross-cultural environment
• Entrepreneurial mindset and self-starter to step into a fast-paced and dynamic environment and ready to build a strong network across the practice
• Professional attitude, team player and service-oriented mentality
• Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike
Preferred:
• Consulting experience preferred especially within financial services space
• Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
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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