Top 508 Boston Internships Jobs

Senior Data Scientist
Point Digital Finance, Inc. —Remote
- $156,750 - $198,450 a year
- Remote
- Computer Science
- Master's degree
- SQL
- Paid parental leave
- Health savings account
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FP&A Assistant
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Data Science Intern/Co-op
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Emerson College —Boston, MA
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Costello Medical —Boston, MA
- $54,080 - $66,560 a year
- Online Application
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- Master's degree
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Editorial Intern
Hola Cultura —Remote
- From $20 a week
- Part-time
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- High school
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5d
Research Assistant
Harvard University —Cambridge, MA
- Full-time
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Analyst/Medical Writer Internship
Costello Medical —Boston, MA
- $54,080 - $66,560 a year
- Online Application
- Hybrid work
- Microsoft Word
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- English
- Health insurance
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Materials Science & Engineering Co-op (JULY 2026)
Lydian —Boston, MA
- $30 - $32 an hour
- Bachelor of Science
- Mid-level
- Analysis skills
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Video Specialist
Vital —Portsmouth, NH
- $40,000 - $130,000 a year
- 8 hour shift
- Mid-level
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Intern, Energy & Sustainability
The RMR Group —Newton, MA
- $23 - $28 an hour
- Part-time
- Office
- 21 years or older
- Organizational skills
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Real Estate Project Management Co-op Internships
Northstar Project & Real Estate Services —Cambridge, MA
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Copywriter
Vital —Portsmouth, NH
- $40,000 - $130,000 a year
- 8 hour shift
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- Mid-level
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Intern-Service Desk
CMIT Solutions of Boston|Cambridge —Boston, MA
- $20 - $26 an hour
- Hybrid work
- Computer science
- Computer Science
- Internship
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Marketing Internship
Vital —Portsmouth, NH
- $13 - $15 an hour
- Call employer
- Marketing
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IT Data Services Co-Op
Boston Properties —Boston, MA
- $23 - $26 an hour
- Full-time
- Computer Science
- Research
- Office
- Commuter assistance
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Software Engineer
Vestmark, Inc. —Boston, MA
- $80,000 - $110,000 a year
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
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Front End Web Developer
Vital —Portsmouth, NH
- $55,000 - $130,000 a year
- 8 hour shift
- Office
- JavaScript
- 1 year
- Health insurance
- Work from home

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Senior Data Scientist

Point Digital Finance, Inc. -
Remote

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Job Details

$156,750 - $198,450 a year

Benefits

Internet reimbursement
Paid parental leave
Health savings account
Paid holidays
Disability insurance
Health insurance
Unlimited paid time off
Dental insurance
401(k)
Flexible spending account
Cell phone reimbursement
Family leave
Parental leave
Vision insurance
Life insurance

Qualifications

AI models
Performance dashboard reports
TensorFlow
Statistics
Time series models
Economics
Data visualization software proficiency
Data transformation pipeline development
Statistics
Computer Science
Predictive modeling analysis
SQL databases
Bachelor's degree in statistics
PyTorch
Technical documentation
NumPy
Business intelligence report generation
Mathematics
Bachelor's degree in economics
AI platforms (beyond public GPTs)
Master's degree
SQL
Data quality management
Pandas
Collaboration with product development teams
Business intelligence tools
Machine intelligence
Bachelor's degree
Model deployment
Improving predictive model accuracy

Full Job Description

About Point

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.

✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we're scaling fast! You have the opportunity to join us at a pivotal stage.

✨ Game-changing Product: We're building a category defining company in home equity. We've earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.

✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.

✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.

Local or 100% Remote

About the role

We are seeking a Senior Data Scientist to join our growing data team. You will be responsible for building and deploying machine learning models to support marketing, customer engagement, and core business use cases. You will also monitor model performance, identify and mitigate model deterioration, forecast business outcomes, and maintain high-quality datasets. The role is not limited to working on machine learning and model development and will also include, but not limited to advanced analytics projects such as root-cause analysis, identifying trends in data and building time-series projections.

This is an excellent opportunity for someone advanced in their data science career to enhance their skills in applied machine learning while working closely with other senior data scientists, engineers, and cross-functional stakeholders.

Your responsibilities

Model Development: Design, train, and deploy machine learning models to solve marketing, forecasting, and operational problems.
Model Monitoring: Track model performance, detect drift or deterioration, and assist in implementing corrective measures.
Forecasting & Insights: Develop time-series forecasts and performance dashboards that inform marketing strategies and broader business decisions.
Data Management: Clean, transform, and maintain structured datasets to ensure reliable inputs for analytics and modeling.
Collaboration: Partner with marketing, product, and business teams to translate requirements into data-driven solutions.
Documentation & Reporting: Produce clear documentation of models, data pipelines, and processes; communicate insights to technical and non-technical stakeholders.

About You

4–5 years of hands-on experience in data science, applied statistics, or machine learning (internships and projects count).
Familiarity and experience working with AI toolkits such as Claude or Gemini or similar.
Strong foundation in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus).
Familiarity with SQL for data extraction and transformation.
Experience with basic machine learning workflows: preprocessing, feature engineering, model training, validation, and monitoring.
Understanding of data visualization tools (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).
Curiosity and eagerness to learn — especially around model monitoring, forecasting, and marketing analytics.
Excellent problem-solving skills and ability to communicate insights clearly.
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master's degree is a plus.
Advanced knowledge of AI tools
Expertise on BI dashboarding tools such as Sigma or Tableau preferred
Strong Excel skills

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

Tier 1 | San Francisco Bay Area, New York, and Seattle | $179,550 - $198,450
Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $164,350 - $181,65
Tier 3 | All other US metro areas | $156,750 - $173,250

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Location Requirement: This is a remote position. However, candidates must reside in one of Point's states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, ME, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.

Our benefits

Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).
Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays.
Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ.
Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.
Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success.
Financial wellness: We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage.
Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn.

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Boston Internships jobs

Senior Data Scientist

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Software Engineer

Front End Web Developer

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