Data Science Intern Jobs
Data Science Intern jobs are open across technology, finance, healthcare, and consumer goods, from entry-level undergraduate roles to pre-doctoral positions, with specializations in machine learning, statistical modeling, and data engineering. See the openings below and apply to the ones that match your experience.
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Showing 5 of 84+ Data Science Intern jobs
Department:
AnalyticsJob Description:
At The Mutual Group, we’re building a modern analytics organization that plays a critical role in shaping business strategy and driving profitable underwriting growth. As a Data Science Intern, you’ll gain hands-on experience applying analytics to real property & casualty insurance business problems. Working alongside our actuarial and data teams, the intern will support model monitoring, exploratory analysis, and documentation while building a foundation in predictive modeling, insurance fundamentals, and modern analytics workflows. This is an applied, mentorship-driven experience designed to develop both technical and professional skills, as well as introduce students to data science career paths in insurance.
Work Arrangement:
Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.
Accountabilities:
Core Analytics & Data Science Work
Support exploratory data analysis for pricing, underwriting, claims, or operational analytics use cases.
Build or enhance repeatable reporting outputs such as model monitoring summaries, rating variable distributions, actual-versus-expected analysis, or lift-chart support.
Help document modeling datasets, feature logic, assumptions, limitations, and data lineage.
Contribute to code cleanup, reusable functions, testing scripts, and version-controlled project organization.
Business & Insurance Learning
Learn foundational insurance concepts including exposure, premium, claims frequency, claims severity, loss ratio, rate adequacy, and underwriting risk selection.
Translate analytical findings into business-friendly summaries for actuarial, underwriting, claims, or leadership audiences.
Shadow team members to understand how model outputs are consumed in pricing, profitability analysis, underwriting workflows, and management reporting.
Prepare a capstone presentation connecting technical work to business value – such as improved pricing insight, greater efficiency, better monitoring, or clearer documentation.
Qualifications:
Currently pursuing an undergraduate (junior/senior) or graduate degree in data science, statistics, mathematics, actuarial science, analytics, economics, or a related field.
Comfort with at least one programming language, preferably Python or R.
Basic SQL skills, or the ability and willingness to learn SQL quickly.
Coursework or project experience involving statistics, regression, machine learning, data visualization, or applied analytics.
Strong written and verbal communication skills and an interest in applying analytics to real business problems.
Interest in insurance, financial services, risk analytics, or business decision support.
Strong analytical thinking and quantitative skills.
Exposure to version control (e.g., Git), data visualization tools (e.g., Tableau), or model monitoring concepts.
Curiosity, reliability, and a collaborative, feedback-oriented mindset.
Why Join The Mutual Group:
Gain meaningful, real-world data science experience.
Work alongside experienced data scientists, data engineers, and credentialed actuaries who are invested in your development.
Contribute to projects that have a direct impact on business decisions.
Build technical, analytical, and professional skills that will prepare you for a successful data science career.
Experience a collaborative culture that values learning, collaboration, innovation, and professional growth.
Perks of working at The Mutual Group:
Competitive Pay: Interns earn hourly wages while gaining hands-on experience. The hourly pay range for this internship is $23-$25, commensurate with experience.
Mentorship Programs: Pairing interns with experienced professionals.
Networking Events: Intern mixers, speaker series, or meet-and-greets with executives.
Volunteer Opportunities: Organized events for community service.
Real projects: Interns contribute to meaningful work, not just observe from the sidelines.
Free Lunch: On-site cafeteria available Tuesday-Thursday.
Balanced Schedule: A 39-hour work week designed to support productivity and well-being.
Benefits:
We are proud to offer our full-time regular employees a robust benefits suite that includes:
- Competitive base salary plus incentive plans for eligible team members
- 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
- Free basic life and AD&D, long-term disability and short-term disability insurance
- Medical, dental and vision plans to meet your unique healthcare needs
- Wellness incentives
- Generous time off program that includes personal, holiday and volunteer paid time off
- Flexible work schedules and hybrid/remote options for eligible positions Educational assistance
Bot-Filtering Mechanism
The Mutual Group uses a bot-filtering mechanism as part of its recruiting and hiring process. As a result, automated job applications or submissions may be rejected.
Equal Opportunity Employer
The Mutual Group is an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.
- Know Your Rights: Workplace Discrimination is Illegal
- Your Rights Under USERRA
Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com .
Employment Verification
The Mutual Group participates in the E-Verify program and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected from employment discrimination based on your citizenship status and national origin.
E-Verify Program Overview
E-Verify Participation Poster
All offers of employment are contingent upon the successful completion of a background check.
#TMG
Department:
AnalyticsJob Description:
At The Mutual Group, we’re building a modern analytics organization that plays a critical role in shaping business strategy and driving profitable underwriting growth. As a Data Science Intern, you’ll gain hands-on experience applying analytics to real property & casualty insurance business problems. Working alongside our actuarial and data teams, the intern will support model monitoring, exploratory analysis, and documentation while building a foundation in predictive modeling, insurance fundamentals, and modern analytics workflows. This is an applied, mentorship-driven experience designed to develop both technical and professional skills, as well as introduce students to data science career paths in insurance.
Work Arrangement:
Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.
Accountabilities:
Core Analytics & Data Science Work
Support exploratory data analysis for pricing, underwriting, claims, or operational analytics use cases.
Build or enhance repeatable reporting outputs such as model monitoring summaries, rating variable distributions, actual-versus-expected analysis, or lift-chart support.
Help document modeling datasets, feature logic, assumptions, limitations, and data lineage.
Contribute to code cleanup, reusable functions, testing scripts, and version-controlled project organization.
Business & Insurance Learning
Learn foundational insurance concepts including exposure, premium, claims frequency, claims severity, loss ratio, rate adequacy, and underwriting risk selection.
Translate analytical findings into business-friendly summaries for actuarial, underwriting, claims, or leadership audiences.
Shadow team members to understand how model outputs are consumed in pricing, profitability analysis, underwriting workflows, and management reporting.
Prepare a capstone presentation connecting technical work to business value – such as improved pricing insight, greater efficiency, better monitoring, or clearer documentation.
Qualifications:
Currently pursuing an undergraduate (junior/senior) or graduate degree in data science, statistics, mathematics, actuarial science, analytics, economics, or a related field.
Comfort with at least one programming language, preferably Python or R.
Basic SQL skills, or the ability and willingness to learn SQL quickly.
Coursework or project experience involving statistics, regression, machine learning, data visualization, or applied analytics.
Strong written and verbal communication skills and an interest in applying analytics to real business problems.
Interest in insurance, financial services, risk analytics, or business decision support.
Strong analytical thinking and quantitative skills.
Exposure to version control (e.g., Git), data visualization tools (e.g., Tableau), or model monitoring concepts.
Curiosity, reliability, and a collaborative, feedback-oriented mindset.
Why Join The Mutual Group:
Gain meaningful, real-world data science experience.
Work alongside experienced data scientists, data engineers, and credentialed actuaries who are invested in your development.
Contribute to projects that have a direct impact on business decisions.
Build technical, analytical, and professional skills that will prepare you for a successful data science career.
Experience a collaborative culture that values learning, collaboration, innovation, and professional growth.
Perks of working at The Mutual Group:
Competitive Pay: Interns earn hourly wages while gaining hands-on experience. The hourly pay range for this internship is $23-$25, commensurate with experience.
Mentorship Programs: Pairing interns with experienced professionals.
Networking Events: Intern mixers, speaker series, or meet-and-greets with executives.
Volunteer Opportunities: Organized events for community service.
Real projects: Interns contribute to meaningful work, not just observe from the sidelines.
Free Lunch: On-site cafeteria available Tuesday-Thursday.
Balanced Schedule: A 39-hour work week designed to support productivity and well-being.
Benefits:
We are proud to offer our full-time regular employees a robust benefits suite that includes:
- Competitive base salary plus incentive plans for eligible team members
- 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
- Free basic life and AD&D, long-term disability and short-term disability insurance
- Medical, dental and vision plans to meet your unique healthcare needs
- Wellness incentives
- Generous time off program that includes personal, holiday and volunteer paid time off
- Flexible work schedules and hybrid/remote options for eligible positions Educational assistance
Bot-Filtering Mechanism
The Mutual Group uses a bot-filtering mechanism as part of its recruiting and hiring process. As a result, automated job applications or submissions may be rejected.
Equal Opportunity Employer
The Mutual Group is an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.
- Know Your Rights: Workplace Discrimination is Illegal
- Your Rights Under USERRA
Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com .
Employment Verification
The Mutual Group participates in the E-Verify program and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected from employment discrimination based on your citizenship status and national origin.
E-Verify Program Overview
E-Verify Participation Poster
All offers of employment are contingent upon the successful completion of a background check.
#TMG
Data Science Intern Jobs by Experience Level
See All 84 Data Science Intern Jobs
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Find Data Science Intern JobsData Science Intern Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
What Employers Look For
The qualifications that appear most often in data science intern jobs.
- Proficiency in Python with experience using pandas, NumPy, or scikit-learn
- Working knowledge of SQL for querying and manipulating relational databases
- Currently enrolled in or recently completed a bachelor's or master's degree in a quantitative field
- Familiarity with machine learning concepts such as regression, classification, or clustering
- Experience communicating analytical findings through data visualization tools like Tableau, Power BI, or Matplotlib
- Exposure to statistical methods including hypothesis testing, A/B testing, or probability modeling
Tips for Your Data Science Intern Job Search
Tailor your resume to the stack
Many data science intern listings name specific libraries like scikit-learn, PyTorch, or pandas. Mirror the exact tool names from each job posting in your resume's skills and project sections, since applicant tracking systems filter on these terms before a human reads anything.
Lead with project outcomes, not tasks
Recruiters skip resumes that say 'analyzed data.' Instead, write what changed because of your analysis: a model that improved prediction accuracy by a measurable amount, or a dashboard that replaced a manual weekly report. Concrete results beat process descriptions every time.
Post your notebooks and code publicly
A public GitHub repository with clean, commented notebooks does more for a data science intern application than a generic portfolio site. Include a brief README on each project explaining the business problem you solved, the dataset, and the method you chose and why.
Filter openings by required versus preferred skills
Data science intern postings often list ten or more qualifications, but half are labeled preferred. Apply when you meet the required skills, even if your preferred-skill count is low. Hiring managers expect interns to be building toward the preferred list, not already there.
Apply early to roles that fit
Migrate Mate lists data science intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing. Applying within the first week of a posting going live consistently improves your odds of a callback.
Prepare a coding and case interview separately
Data science intern interviews almost always include a SQL or Python coding screen and a separate analytical case where you interpret a dataset aloud. Practice each format independently, since the skills they test differ enough that cramming both at once leaves gaps in your preparation.
Data Science Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data science interns?
TikTok, Lyft, and Nuclear are hiring the most data science interns right now, with openings concentrated in California, Texas, and New York, based on current listings on Migrate Mate as of September 2026. Technology, financial services, and healthcare companies tend to post the highest volume of data science intern roles year-round.
How many data science intern jobs are remote?
About 58% of data science intern openings are fully remote or hybrid as of September 2026, making it one of the more flexible internship categories. Machine learning research and analytics engineering roles within that group are the most likely to offer fully remote arrangements, while roles tied to on-premise data infrastructure tend to require some in-office presence.
How do you become a data science intern?
Build a foundation in Python and SQL, then complete at least two independent data projects you can share publicly on a code repository. Take a statistics or machine learning course to add formal methodology to your hands-on work. Apply to roles that list your current tools as required rather than preferred, write a targeted cover letter connecting your projects to the company's domain, and prepare for both a coding screen and an analytical case interview.
Can you get a data science intern role with little experience?
Yes, many data science intern roles are designed for candidates who are still building their skills. Employers hiring first-time interns care more about your ability to work with data in Python or SQL than about prior professional experience. A strong academic project, a Kaggle competition entry, or a self-directed analysis of a public dataset can substitute for work history, especially when you document your methodology and results clearly.
What does the data science intern interview process look like?
Most data science intern interviews follow a pattern of three to four stages. An initial recruiter screen focuses on background and fit. A technical phone or video screen tests Python, SQL, or statistics fundamentals with short coding problems. A take-home assignment or live coding challenge follows, often involving an exploratory analysis of a provided dataset. Final-round interviews combine a presentation of your take-home work with behavioral questions about how you approach problems and communicate findings.
Where can I find and apply to data science intern jobs?
You can find and apply to data science intern jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your skills, tools, and preferred location, then apply directly to each one that fits. New openings are added regularly, so checking back frequently gives you access to postings before they receive a high volume of applicants.
See All 84 Data Science Intern Jobs
Find roles that match your experience and apply in just a few clicks.
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