Management consultant vs data scientist

The differences between management consultants and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a management consultant and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $99,360 average annual salary of a management consultant.

The top three skills for a management consultant include healthcare, project management and portfolio. The most important skills for a data scientist are python, data science, and visualization.

Management consultant vs data scientist overview

	Management Consultant	Data Scientist
Yearly salary	$99,360	$106,104
Hourly rate	$47.77	$51.01
Growth rate	11%	16%
Number of jobs	153,045	106,973
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 67%	Bachelor's Degree, 51%
Average age	44	41
Years of experience	4	4

What does a management consultant do?

A management consultant's responsibility focuses on conducting an in-depth analysis of a company or business, including its target market. Through their findings, they can devise strategies that will help the business grow and attain a significant profit. There are also instances when a management consultant must solve particular issues that will require them to investigate the problem, assess damages, identify risks, and recommend the best solutions to take. Furthermore, a management consultant must adhere to the company's vision, mission, and policies at all times.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Management consultant vs data scientist salary

Management consultants and data scientists have different pay scales, as shown below.

	Management Consultant	Data Scientist
Average salary	$99,360	$106,104
Salary range	Between $72,000 And $136,000	Between $75,000 And $148,000
Highest paying City	Jersey City, NJ	Richmond, CA
Highest paying state	New Jersey	California
Best paying company	Apple	The Citadel
Best paying industry	Technology	Start-up

Differences between management consultant and data scientist education

There are a few differences between a management consultant and a data scientist in terms of educational background:

	Management Consultant	Data Scientist
Most common degree	Bachelor's Degree, 67%	Bachelor's Degree, 51%
Most common major	Business	Computer Science
Most common college	Northwestern University	Columbia University in the City of New York

Management consultant vs data scientist demographics

Here are the differences between management consultants' and data scientists' demographics:

	Management Consultant	Data Scientist
Average age	44	41
Gender ratio	Male, 65.9% Female, 34.1%	Male, 79.6% Female, 20.4%
Race ratio	Black or African American, 8.1% Unknown, 4.5% Hispanic or Latino, 8.9% Asian, 13.6% White, 64.8% American Indian and Alaska Native, 0.2%	Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage	12%	9%

Differences between management consultant and data scientist duties and responsibilities

Management consultant example responsibilities.

Streamline and program manage operations for end-to-end creation of all assets using Smartsheet.
Lead daily agile scrum meetings towards the end of the development phase of the project.
Monitor and control project schedule for SaaS product to achieve project deliveries in at least 95th percentile.
Lead teams in implementation of value map streaming, ISO 9000 and waste reduction in manufacturing process.
Manage functional design team activities using baseline scope document information and develop process standards in line with SDLC methodologies.
Develop light-weight (fast) proprietary cloud-base licensing engine and UI to manage and track end user subscription licenses.

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Data scientist example responsibilities.

Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
Perform cross-validation-test on linear regression model of data using scikit-learn.
Develop python base statistical visualization to provide insights of fuzzy social media data.

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Management consultant vs data scientist skills

Common management consultant skills

Healthcare, 9%
Project Management, 7%
Portfolio, 6%
Business Process, 5%
Business Strategy, 5%
Business Development, 4%

Common data scientist skills

Python, 13%
Data Science, 10%
Visualization, 5%
Java, 4%
Hadoop, 4%
Tableau, 3%

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Updated January 8, 2025

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