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Hourly Machine Learning Intern Jobs in Minneapolis, MN

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Hourly Machine Learning Intern information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

How much do hourly machine learning intern jobs pay per year?

As of Sep 7, 2026, the average yearly pay for hourly machine learning intern in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What is the difference between Hourly Machine Learning Intern vs Hourly Data Science Intern?

AspectHourly Machine Learning InternHourly Data Science Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually enrolled in or graduated from a program in Data Science, Statistics, or related areas; proficiency in data analysis tools
Work EnvironmentTech companies, startups, research labs focusing on ML model developmentOrganizations applying data analysis to business problems, often in tech, finance, or healthcare sectors
Employer & Industry UsageCommonly used in AI/ML-focused roles within tech industriesWidely used across industries for data-driven decision making

The Hourly Machine Learning Intern focuses on developing and testing machine learning models, requiring programming and ML-specific skills. In contrast, the Hourly Data Science Intern emphasizes analyzing data to extract insights, often involving statistical analysis and data visualization. Both roles are valuable entry points in data-related fields but differ in technical focus and daily tasks.

What are popular job titles related to Hourly Machine Learning Intern jobs in Minneapolis, MN?

For Hourly Machine Learning Intern jobs in Minneapolis, MN, the most frequently searched job titles are:

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The top searched job categories for Hourly Machine Learning Intern jobs in Minneapolis, MN are:

Hourly Machine Learning Intern jobs near you
Infographic showing various Hourly Machine Learning Intern job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.

Government Health Consulting Informatics Summer Intern - College Program 2027

Marsh McLennan

Minneapolis, MN • Hybrid

Full-time

Medical

Posted 6 days ago

Job description

Company:MercerDescription:

We are seeking talented individuals to join our Government Human Services Consulting (GHSC) team at Marsh People and Investments. Interns will spend their 10-week internship in either Phoenix, AZ, Minneapolis, MN, or Seattle, WA. This is a hybridrolethat has a requirement of working at least three days a week in the office. Internsrelocatingfor the summer are eligible for a relocation bonus.

Medicaid is a government-sponsored health insurance program in the United States designed to provide healthcare coverage to low-income individuals and families. As a consulting firm specializing in Medicaid, Marsh People and Investments' GHSC teamassistsstate governments inoptimizingtheir Medicaid programs. Our team plays a vital role in managing and analyzing Medicaid claims data to enhance patient access to care, improve cost efficiency, and elevate the quality of services provided to these individuals. As an Intern, you will have the opportunity to collaborate with experienced programmers, actuaries, and clinicians, contributing to meaningful projects that aim to positivelyimpactthe lives of individuals and families in need. Join us in making a difference!

To learn more about Marsh People and Investments' GHSC practice, please visitwww.mercer-government.mercer.com

We will count on you to:

Assistin the management and analysis of Medicaid claims data toidentifytrends and insights that drive improvements in healthcare access and quality.

Support the development of analytical models and tools that evaluate cost efficiency and effectiveness of care delivery within the Medicaid program.

Collaborate with team members to prepare reports and presentations that communicate findings and recommendations to stakeholders.

Participate in projects aimed at helping state governments maximize their Medicaid coverage and budgetutilization.

Engage in data validation and quality assurance processes to ensure the accuracy and reliability of analyses.

What you need to have:

Progress towards a bachelor's degree in computer sciences, data science, economics, mathematics, statistics, publichealthor a related field

Status as a currently enrolled student; candidates should have an expected graduation date of December 2027 or Spring 2028

MinimumGPA of 3.0 / 4.0

Experienceutilizingprogramminglanguagesuch as SAS, Python, or SQL

Legal work authorization in the U.S. on a permanent and ongoing basis without the need for sponsorship now or in the future

What makes you stand out?

Strong analytical skills with a passion for data-driven decision-making.

Excellent communication skills and the ability to work collaboratively in a team environment.

A keen interest in healthcare, particularly in the Medicaid sector.

An enthusiastic sense of curiosity and a willingness to learn, as we value individuals who are eager to explore and innovate.

Howwe'llset you up for success:

Youdon'tneed prior health care or SAS experience to succeed here.

Every new hire starts with a two-week classroom-style programming course and a dedicated mentor.

You'llalso complete introductorytrainingson claimsdataso you understand whatyou'reanalyzing and why it matters.

Historically, many of our strongest interns have gone on to receive full-time offers as Government Health Informatics Analysts.

Why join our team:

We help you be your best through professional development opportunities, interestingworkand supportive leaders.

We foster a vibrant and inclusive culture where you can work with talented colleagues to createnew solutionsand haveimpactforcolleagues,clientsand communities.

Our scale enables us toprovidea range of career opportunities, as well as benefits and rewards to enhance your well-being.

What's Next:

Application Instructions:

Application Deadline: September 28th at 11:59pm ET

Anticipated Internship Dates: June 7, 2027 - August 13, 2027

When creating your application, please use your permanent home address and use your personal email address rather than your school email address.

First Round Interviews:

Applications are reviewed on a rolling basis.

If selected, first-round interviews consist of an on-demand digital video interview.

Further timing and instructions will be provided at that time.

Offers are extended on a rolling basis, with final decisionsanticipatedby mid-November.

Marshbelieves in building brighter futures by redefining the world of work, reshapingretirementand investment outcomes, and unlocking real health and well-being. Marsh People and Investments' more than20,000 employeesare based in 43countriesand the firmoperatesin over 130 countries. Marsh People and Investments is a business ofMarsh McLennan(NYSE: MMC), the world's leading professional services firm in the areas of risk,strategyand people, with more than 85,000 colleagues and annual revenue of over$23 billion. Through its market-leading businesses includingMarsh,Guy CarpenterandOliver Wyman, Marshhelps clients navigate an increasingly dynamic and complex environment. For more information, visitmercer.com. Follow Marsh People and Investments onLinkedInandX.

Marsh is committed to embracing a diverse,inclusiveand flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law.

If you have a need that requires accommodation, please let us know by contactingreasonableaccommodations@mmc.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration,connectionsand professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams willidentifyat least one "anchor day" per week on which their full team will be together in person.

The applicable hourly rate for this role is $27/hour. Internsrelocatingfor the summer are eligible for a relocation bonus.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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