Remote Data Science Intern Jobs
Remote Data Science Intern jobs are open across technology, finance, healthcare, and media at remote-first companies and distributed enterprise teams, from early internship roles at startups to structured programs at large analytics organizations. Employers hiring remotely right now include Lawrence Livermore National Laboratory, Chemours, and MUTUAL. See the openings below and apply to the ones that match your experience.
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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.
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Who's Hiring



Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote 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 Remote Data Science Intern Job Search
Build a portfolio for async review
Remote hiring managers assess your work before they speak with you. Host two or three Jupyter notebooks or dashboards on GitHub with clear README files that explain your approach, data sources, and conclusions. Async readability matters as much as technical quality.
Apply early to remote roles that fit
Migrate Mate lists remote data science intern openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated listings.
Prove you communicate well in writing
Remote data science interns are evaluated on how clearly they document code and summarize findings in written updates. Add a short methods summary to every portfolio project and practice writing Slack-style analysis briefs that explain results to a non-technical audience.
Learn the remote data stack before applying
Distributed data teams rely on tools like dbt, Snowflake, Databricks, and cloud notebooks on AWS or GCP. Familiarity with at least one of these signals you can contribute without in-person onboarding and reduces ramp-up time, which remote managers value in short-term internships.
Remote Data Science Intern Jobs: Frequently Asked Questions
How do I get a remote data science intern job?
Target companies that already run distributed data teams, since they have the infrastructure and culture to onboard remote interns effectively. Remote employers screen heavily for self-direction, clear written communication, and proficiency in Python, SQL, and at least one data visualization tool. A GitHub portfolio with documented projects signals you can work independently and communicate findings without in-person check-ins.
Which companies hire remote data science interns?
Employers currently hiring remote data science interns include Lawrence Livermore National Laboratory, Chemours, and MUTUAL, per current remote listings on Migrate Mate as of September 2026. Remote-first technology firms, fintech platforms, and health analytics companies tend to hire data science interns remotely most consistently, given their distributed team structures and data-heavy workflows.
Can you get a remote data science intern job with no experience?
Yes, but remote entry-level data science intern roles are harder to land because you're expected to work independently from day one without in-person guidance. Early-stage startups and research-adjacent organizations are more likely to take a chance on candidates without prior internship experience. A strong portfolio with real datasets, documented methodology, and clear write-ups goes further than experience for remote roles.
Do you need a degree for remote data science intern jobs?
Not always. Many remote employers care more about demonstrated skills than enrollment status, particularly at smaller companies and remote-first startups where output is easy to measure. Completing recognized data science certifications, contributing to open-source projects, and building a portfolio that shows you can clean data, build models, and communicate results will open doors alongside or instead of a degree.
Which industries hire the most remote data science interns?
Remote data science intern roles concentrate in Technology & Software, based on current remote listings on Migrate Mate as of September 2026. Those sectors hire data science interns remotely because their teams are already distributed and their data pipelines, customer analytics, and reporting workflows run entirely in cloud environments.
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