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Internship Python Data Science Jobs in Boston, MA

... Science with a strong foundation in statistical analysis and data modeling. • Experience building agentic AI frameworks for analytics automation. • Strong proficiency in SQL and Python (data ...

... Python, C, C++, Java, or MATLAB. • Work with customers, stakeholders, and other vendors to ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

... in data science, analytics, or machine learning • Proficiency in Python or R, with working knowledge of SQL • Familiarity with common machine learning techniques such as regression ...

In this role, you will lead a high-performing team of Data Scientists and Machine Learning ... Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.

... Python, C, C++, Java, or MATLAB. • Work with customers, stakeholders, and other vendors to ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

Bachelor's degree required (preferably in Data Science, Business Analytics, or a related field) * SQL experience and experience using a scripting language such as Python or R * Familiarity with data ...

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

... interns. Knowledge and Experience Education: Minimum B. Sc. Computer Science with Statistics or ... Python, R, Stata, SQL -Frameworks: Apache Spark, Apache Airflow -Cloud services: AWS (Lambda, EC2 ...

Utilize artificial intelligence to optimize new and improve existing processes Qualifications * 0-2 years experience in data science * Strong understanding of Python and SQL * Strong interest in and ...

Python Tutor

Somerville, MA · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Cambridge, MA · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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Internship Python Data Science information

See Boston, MA salary details

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How much do internship python data science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship python data science 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 are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What job categories do people searching Internship Python Data Science jobs in Boston, MA look for? The top searched job categories for Internship Python Data Science jobs in Boston, MA are:
Data Science Engineer (All Levels)

Data Science Engineer (All Levels)

Roberts Recruiting

Boston, MA

$124K - $149K/yr

Other

Posted 15 days ago


Job description


We love programming and the excitement that comes with building something people use. We are the kind of people that love talking to users and can find the balance between solving a problem quickly and thinking about how your code will work in the future. We love to move fast, keep learning and get stuff done.
Our Data Science team is analyzing large data sets (we're collecting billions of individual actions every month) and building products that enable our customers to grow faster and communicate more effectively with their customers. We're looking for data science software engineers to build production features, models and pipelines.
Our data science team is still in its early days and you'll have a big impact on our direction and how we operate. You'll be central to shipping products that help our customers learn and grow from their data. We're looking for people who could play any number of different engineering roles in a cloud-scale SaaS company and are specifically excited by working in data science.You:
    • Are a strong software engineer with a passion for data science.
    • Can write scalable and robust production code.
    • Know how to achieve cloud-scale data processing through parallel, elastic, streaming and similar techniques.
    • Have experience working on features from conception to deployment to ongoing enhancements.
    • Are skilled at working with data science packages and tools.
    • Have experience with or a strong desire to learn statistical, modeling and machine learning techniques.
    • Aspire to correctness (e.g. in your code, in drawing conclusions from data)
    • Have a bachelor's or advanced degree in computer science or other relevant quantitative discipline, or equivalent industry experience.
Technologies we use (not comprehensive!):
    • Python
    • Numpy, Scipy, Pandas
    • Aurora, Cassandra, Kafka
    • HTML, JavaScript, React
    • SageMaker

About Us
We are a team of people who are crazy motivated by growth.
It's what we help our customers do: grow their businesses by making it possible and easy for them to use their data to power better marketing.
It's how we behave as individuals: we're all deeply passionate about learning.
It's how we manage our business: we have thousands of paying customers, we're profitable, and we're growing insanely fast.