Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Intern
Chicago IL USA
Live, first seen by us 82 days ago- Pay
$27–42/hour — pay source
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $27.00 - $42.00 per hour. Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Machine Learning Intern
- Work authorization
- Must already have the right to work
Crowe is not sponsoring for work authorization at this time
What you’ll work on
Full postingThe data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period.
Work on a data science project overseen by a designated mentor
Frame business problems as data science problems and build models
Write readable, modular Python code and take part in code reviews
Use git, docker and deployment tools across the model lifecycle
Present work clearly to technical and non-technical audiences
From the employer’s posting
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor
Understanding how to frame business problems as data science problems
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Presenting work clearly to technical and non-technical audiences
What you’ll bring
All qualificationsCore experience
- Study in data science, computer science, mathematics, or natural or social sciences
- Python programming skills
- Familiarity with Linux and the terminal
Qualification wording
Data Science Computer Science Mathematics Natural or Social Sciences
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Tools in this posting
- Python
- Docker
Source — Tool mentions in context
Software Development Writing high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the terminal, and other core development tools
Essential Job Functions: • Anomaly detection using deep neural networks • Numerical optimization applied to problems in manufacturing • Personal identifiable information (PII) and personal health information (PHI) detection in natural language • Understanding how to frame business problems as data science problems • Navigating the full data science lifecycle: research and exploration, development, deployment, support • Using correct model selection and training procedures to prevent common modeling errors • Creating reasonable test scenarios and diagnostic measures • Writing high quality Python (readable, reusable, modular, and well-abstracted code) • Using Linux, the terminal, and other core development tools • Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s) • Participating in code reviews • Contributing to team development processes and agile/scrum rituals • Helping to clarify and prioritize work, define success criteria, and own work item completion • Applying all relevant change management controls for risk and compliance policies • Presenting work clearly to technical and non-technical audiences We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
Using Linux, the terminal, and other core development tools Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s) Participating in code reviews
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 15, 202682 days ago
- Recorded sightings
- 184
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 82
Up longer than most. Similar jobs usually come down between day 7 and day 55.
Well past Crowe’s usual: its jobs come down by about day 25.
From 10,129 similar postings that came down, and 9 of Crowe’s. Coming down is not always a hire.
Crowe is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
Your next step
Check the employer’s posting for the current role and application details.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Crowe posted this job before?
Yes. We’ve followed one other Machine Learning Intern job there since August 2026. It came down after 4 days.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Role Summary
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
Essential Job Functions:
• Anomaly detection using deep neural networks
• Numerical optimization applied to problems in manufacturing
• Personal identifiable information (PII) and personal health information (PHI) detection in natural language
• Understanding how to frame business problems as data science problems
• Navigating the full data science lifecycle: research and exploration, development, deployment, support
• Using correct model selection and training procedures to prevent common modeling errors
• Creating reasonable test scenarios and diagnostic measures
• Writing high quality Python (readable, reusable, modular, and well-abstracted code)
• Using Linux, the terminal, and other core development tools
• Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
• Participating in code reviews
• Contributing to team development processes and agile/scrum rituals
• Helping to clarify and prioritize work, define success criteria, and own work item completion
• Applying all relevant change management controls for risk and compliance policies
• Presenting work clearly to technical and non-technical audiences
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
Crowe accepts applications for this role on an ongoing basis.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $27.00 - $42.00 per hour.Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe provides professional services through two separate entities: Crowe LLP delivers audit and attest services, and Crowe Advisory LLC provides tax, advisory, consulting, and other nonattest services.
The Crowe Global network consists of more than 300 independent accounting and advisory services firms in more than 150 countries around the globe, making it one of the largest accounting networks in the world*. As independent members of Crowe Global, Crowe LLP and Crowe Advisory LLC serve clients worldwide. (*As of July 2026)
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.
We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.
If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This passage needs a closer read in the full description.
- Location & working pattern
Chicago IL USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
This passage needs a closer read in the full description.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting