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Internship Python Data Science Jobs in Boston, MA

Deep expertise in Python, data-centric ML techniques including engineering principles for building ... science team within the Quantitative Research and Investment Technology division in the Asset ...

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical ...

Strong working knowledge of Python development best practices and the Python ML ecosystem (e.g ... including data scientists, product management, senior leadership, and engineers). * Experience ...

Data Scientist

Boston, MA

$160K - $180K/yr

Proficiency in Python, including familiarity with data science libraries like pandas and scikit ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Data Science Tutor

Newton, MA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Waltham, MA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Lynn, MA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Internship Python Data Science information

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

As of Jul 19, 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 are the most commonly searched types of Python Data Science jobs in Boston, MA? The most popular types of Python Data Science jobs in Boston, MA are:
Infographic showing various Internship Python Data Science job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 29% Hybrid, and 14% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.
Assistant Director, Data Science

Assistant Director, Data Science

Liberty Mutual Insurance

Boston, MA • On-site

$161K - $197K/yr

Full-time

Posted 4 days ago


Liberty Mutual rating

9.0

Company rating: 9.0 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance


Job description

Description
  • Identify and aggregate sources of third-party geospatial data and use geospatial data management techniques to create usable data and useful insights for Property & Casualty insurance modeling.
  • Build out team's geospatial big data infrastructure using geospatial data science techniques & software such as Snowflake, dbt, and Python.
  • Build geographic risk segmentation models using geographic data science modeling techniques.
  • Apply insurance knowledge to conduct multiple forms of statistical analyses, such as building loss cost models and creating geographic loss data.
  • Translate big geographic data into production-level Property & Casualty insurance geographic pricing factors using sophisticated geographic data science and cartographic techniques for non-technical audiences.
  • Apply spatial data techniques to create usable outputs from geographic risk segmentation models at multiple geographic granularities.
  • Conduct geospatial data science research to enhance geographic pricing sophistication, including leveraging spatial ML techniques.
  • Identify and test hypotheses, ensuring statistical significance, and build predictive models for business application.
  • Enable the business to make clear tradeoffs between and among choices, with a reasonable view of the likely outcomes.
  • Customize analytic solutions to specific client needs.
  • Responsible for larger components of projects of moderate to high complexity. Guide aspects of project design as a technical consultant for the team.
  • Regularly engage with the data science community and participate in cross functional working groups.
  • Domestic travel required up to 10%.
  • Telecommuting permitted up to 40%

Qualifications
Employer will accept a Ph.D. degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and two (2) years of experience in the job offered or in an Assistant Director, Data Science -related occupation.
Alternatively, employer will accept a Master's degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and four (4) years of experience in the job offered or in an Assistant Director, Data Science -related occupation or Bachelor's degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and five (5) years of experience in the job offered or in an Assistant Director, Data Science -related occupation
Position requires demonstrable experience in the following:
  • Geospatial data science methodologies and applications including geospatial big data management and spatial statistics.
  • Property & Casualty insurance data science techniques including working with exposure, loss, and premium data.
  • Statistical modeling methodologies and applications including Generalized Linear Models (GLMs) and Gradient Boosting Machines (GBMs).
  • Insurance predictive modeling experience in third-party software including Emblem and Earnix.
  • Python data science libraries including pandas, geopandas, and numpy.
  • SQL based data management, including Snowflake and dbt.
  • Data analytics and interpretation through exploratory data analysis and spatial data analysis techniques.
  • Utilizing AWS cloud services including EC2 and S3.
  • Demonstrated understanding of MLOps standards including unit testing and virtual environments.

Experience may be gained during graduate program.
Will accept any suitable combination of education, training, and/or experience.
Multiple Positions Available.
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select "Search Jobs," enter job requisition #2026-76811 in the "Job ID or Keywords" field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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