Data Science Intern Jobs
Data Science Intern jobs are open across technology, finance, healthcare, and consulting, from entry-level undergraduate roles to pre-doctoral positions, with specializations in machine learning, analytics engineering, and natural language processing. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
Data Science Internship/Co-Op - Fall Starting September 2026 - Position is in-office, Boston MA
This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
Data Analysis:
The Data Science Intern/co-op will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to elicit hypotheses from internal personnel regarding key variables and test those hypotheses using available data.
Modeling:
The Data Science Intern/co-op will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern/Co-op will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.
Implementation:
The Data Science Intern/co-op will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.
QUALIFICATIONS
- Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
- Practical experience in Econometrics and Statistics, preferably in a business context.
- Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
- High standards for the work products delivered.
- Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
- Flexibility and resiliency characteristic of a professional.
- Knowledge of, and experience with, the technical aspect of insurance is a plus.
- Proficiency with modeling programming language (SQL, R, SAS, Python).
WHY WORK FOR US:
- Friendly and collaborative work culture
- Free On-site gym access
- Free Coffee and Snacks
- Company social events
- Lunch and Learn Leadership program
- Business Casual (Can wear jeans and sneakers!)
- Convenient Location – across from South Station!
PAY RATE: The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
ABOUT THE COMPANY:
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.
LI-RJ1
INTRODUCTION
Data Science Internship/Co-Op - Fall Starting September 2026 - Position is in-office, Boston MA
This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
Data Analysis:
The Data Science Intern/co-op will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to elicit hypotheses from internal personnel regarding key variables and test those hypotheses using available data.
Modeling:
The Data Science Intern/co-op will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern/Co-op will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.
Implementation:
The Data Science Intern/co-op will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.
QUALIFICATIONS
- Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
- Practical experience in Econometrics and Statistics, preferably in a business context.
- Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
- High standards for the work products delivered.
- Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
- Flexibility and resiliency characteristic of a professional.
- Knowledge of, and experience with, the technical aspect of insurance is a plus.
- Proficiency with modeling programming language (SQL, R, SAS, Python).
WHY WORK FOR US:
- Friendly and collaborative work culture
- Free On-site gym access
- Free Coffee and Snacks
- Company social events
- Lunch and Learn Leadership program
- Business Casual (Can wear jeans and sneakers!)
- Convenient Location – across from South Station!
PAY RATE: The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
ABOUT THE COMPANY:
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.
LI-RJ1
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Find Data Science Intern JobsData Science Intern Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- TikTok136
- ByteDance47
- Microsoft38
- NVIDIA17
- PlusAI14
Top Industries Hiring
- Technology & Software276
- Artificial Intelligence57
- Electronics & Hardware49
- Science & Research45
- Media & Entertainment37
What Employers Look For
The qualifications that appear most often in data science intern jobs.
- Proficiency in Python or R with hands-on experience in data manipulation libraries
- Currently enrolled in or recently completed a bachelor's or master's degree in a quantitative field
- Experience with SQL for querying and transforming structured datasets
- Familiarity with machine learning frameworks such as scikit-learn or TensorFlow
- Ability to communicate analytical findings clearly to technical and non-technical audiences
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib
Tips for Your Data Science Intern Job Search
Tailor your resume to each posting
Read each job description closely and mirror the exact tools listed, whether that's Python, SQL, or Spark, in your resume's skills and project bullets. Recruiters scan for specific stack keywords, and a generic data science resume gets filtered out quickly.
Build a portfolio that shows end-to-end work
Employers want to see you clean data, train a model, and communicate results, not just share a Jupyter notebook. Post projects that include a clear problem statement, your methodology, and a summary of what the output means for a non-technical reader.
Target postings that match your current tools
If you know pandas and scikit-learn but not Spark or TensorFlow, filter for roles specifying those tools. Applying to postings that fit your actual stack gets you further than stretching for roles requiring skills you'd need months to develop.
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.
Prepare for a technical screen, not just behavioral questions
Most data science intern interviews include a take-home or live coding task involving data wrangling, exploratory analysis, or a simple model. Practice explaining your reasoning aloud as you code, since interviewers weight your thought process as much as the correct answer.
Follow up with a specific observation after interviews
Send a follow-up note within 24 hours that references one technical detail from your interview, such as a dataset challenge you discussed or a modeling approach you'd revisit. It reinforces that you were genuinely engaged and gives the hiring team something concrete to remember you by.
Data Science Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data science interns?
The companies hiring the most data science interns right now include TikTok, ByteDance, and Microsoft, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of June 2026. Demand is highest at technology companies, financial institutions, and large healthcare systems.
How many data science intern jobs are remote?
About 18% of data science intern openings are fully remote or hybrid as of June 2026, making it one of the more flexible intern categories in the job market. Machine learning research and analytics roles tend to have the highest remote availability, while roles requiring access to proprietary on-site data infrastructure are more commonly in-person.
How do you become a data science intern?
Start by building core competency in Python or R and SQL, then complete at least one end-to-end project you can share publicly. Coursework in statistics, linear algebra, and machine learning fundamentals strengthens your application. Once your portfolio includes real data cleaning, modeling, and results interpretation, apply to intern postings that match the tools and domain you've worked in most.
Can you get a data science intern role with little or no experience?
Yes, you can get a data science intern role without prior work experience if your coursework and independent projects demonstrate the core skills employers need. Substitute work history with a well-documented Kaggle competition entry, a capstone dataset analysis, or a GitHub repository that shows you can take raw data from ingestion through to a clear insight or model output.
What does the data science intern interview process look like?
Most data science intern interview processes include an initial recruiter screen, a technical assessment involving data manipulation or basic modeling in Python or SQL, and one or two rounds with the data team. Expect at least one question asking you to walk through a past project or explain a modeling decision. Some employers add a short take-home case study before the final round.
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. Search for roles that match your tools, domain, and availability, then apply directly to each listing that fits. All applications go straight to the employer, with no intermediary step required.
See All 788+ Data Science Intern Jobs
Jump back to the full list of openings and apply to any data science intern role that fits.
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