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Data Intern Jobs in Boston, MA (NOW HIRING)

Babson College

Faculty Research Intern

Wellesley, MA · On-site

$15/hr

This role provides hands-on experience in research administration, communications, and data support, while contributing to faculty-facing resources, events, and reporting. The intern works closely ...

Babson College

Faculty Research Intern

Wellesley, MA · On-site

$15/hr

This role provides hands-on experience in research administration, communications, and data support, while contributing to faculty-facing resources, events, and reporting. The intern works closely ...

DotHouse Health

Volunteer/ Intern

Dorchester, MA · On-site

$15.75 - $21/hr

... review/data analysis, literature review, or operations support. If possible, the project will ... the intern completes by the end of the term which may include a presentation, report/dashboard ...

DotHouse Health

Volunteer/ Intern

Dorchester, MA · Hybrid

$15.75 - $21/hr

... review/data analysis, literature review, or operations support. If possible, the project will ... the intern completes by the end of the term which may include a presentation, report/dashboard ...

Dothouse Health

Volunteer/ Intern

Dorchester, MA · On-site

$15.75 - $21/hr

... review/data analysis, literature review, or operations support. If possible, the project will ... the intern completes by the end of the term which may include a presentation, report/dashboard ...

Manulife

Summer Intern 2027 - Data Engineering

Boston, MA · Hybrid

$52K - $70K/yr

As a Data Engineer Intern, you'll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You'll work with modern data tools and platforms ...

CTP

Analytics Intern

Boston, MA · On-site

CTP is looking for an Analytics Intern. We love working with talented people, and we continually ... Support data collection, organization, analysis, and reporting for client campaigns. * Help create ...

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All JobsData Intern JobsData Intern Jobs in Boston, MA

Data Intern information

See Boston, MA salary details

$13

$24

$45

How much do data intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data intern in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What types of projects and tasks can a data intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.

What are the key skills and qualifications needed to thrive as a data intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in Boston, MA?

The most popular types of Data jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Intern jobs?

Cities near Boston, MA with the most Data Intern job openings:

Data Intern jobs near you
Infographic showing various Data Intern job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $50,702 per year, or $24.4 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 29 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)