Data Science Intern (Master's) - Boston (2026 Start Date)

Overview

Make an impact at Analysis Group, where we provide our clients with thoughtful, pragmatic solutions to their most challenging business and litigation problems. Analysis Group is one of the largest economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise.

Analysis Group provides economic, financial, and strategy consulting to law firms, corporations, and government agencies. At Analysis Group, Data Science is a center of excellence within a company that already has decades of experience focused on analysis involving data. The Data Science team is charged with collaborating with leading internal and external academic experts to find creative solutions to some of the most challenging and high-value problems we face.

We are currently seeking a Data Science Intern to join our team. The ideal candidate should be passionate about working on cutting edge research and analytical services for Fortune 500 companies, global pharma/biotech firms and leaders in industries such as finance, energy and life sciences. The Data Science Intern will be a contributing member to client engagements and have the opportunity to work with our network of world-class experts and thought leaders.

Job Functions And Responsibilities

The Data Science Intern will help develop, maintain and teach new tools and methodologies related to data science and high-performance computing. This position will also help Analysis Group in maintaining our leadership position in terms of advancing methodology and data analytics. The Data Science Intern will be responsible for staying abreast of new developments in technology relating to data science, to share more broadly with Analysis Group.

Key Responsibilities For This Position Will Include

• Working with project teams to address data science/computing challenges
• Identifying opportunities for technology to enhance service offerings
• Acting as a resource and participating in client engagements and research as part of the project team
• Maintaining up-to-date knowledge of computing tools, providing technical training and helping to grow the in-house knowledge base, specifically in a Linux environment
  
  

Examples of activities for the Data Science Intern will include:

• Conducting advanced statistical and mathematical analyses to address complex research questions to derive actionable insights that support client decision-making
• Developing data engineering and machine learning production systems for full stack data science projects
• Using natural language processing methodologies to work with EMR data, social media data and other unstructured data
• Optimizing procedures for managing and accessing large databases (e.g., insurance claims, electronic health records, financial transactions)
• Creating interactive analytics portals and data visualizations (e.g., using R/Shiny, Python/Flask, D3)
• Leveragingon grid and cloud computing environments, and developing software packages in R, Python, and other object-oriented languages.
• Establishing optimized procedures for repetitive or computationally intensive tasks (C, C , Cuda-C)
  
  

 Qualifications

• Pursuing a master’s degree is required, preferably in Computer Science, Data Analytics, Data Science, Economics, Mathematics, Statistics, or related subjects.
• Ability to apply advanced statistical and mathematical methods to address complex research questions, with a strong foundation in independent problem-solving and analytical thinking.
• Strong credentials and experience in working with both structured and unstructured data, along with data visualization skills, are required.
• Proficiency in Python and/or R is required, with project experience in either language.
• Familiarity with online/cloud computing and storage platforms (e.g., Azure, AWS) is preferred, along with experience working within an HPC environment.
• Experience working within a Linux environment and with Docker is preferred.
• Web development experience (with frameworks such as .NET, FastAPI, Flask, Node, Vue.js, React.js) is a plus Eagerness and ability to quickly learn new skills, analytical methodologies, and technologies to effectively support and contribute to project teams
• Demonstrated experience working on project teams and collaborating with others.
• Strong interpersonal, written, and oral communication skills.
  
  

Candidates who will require future visa sponsorship must have valid U.S. work authorization, such as F-1 CPT or J-1 Academic Training, for the duration of their internship and , e xcept in exceptional circumstances , must also be pursuing a STEM-eligible degree. For such individuals, Analysis Group will provide certain immigration administrative support during their internship, as appropriate under prevailing immigration policy. However, we do not offer sponsorship for internship positions .

Analysis Group embraces equal opportunity. We are committed to building teams that bring a variety of backgrounds, perspectives, and skills, as we believe that a strong and inclusive workforce directly supports our goal of providing the highest-quality work. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other class protected under applicable federal, state, or local law, and we encourage candidates of all backgrounds to apply.

Data Science Interns are compensated at a weekly rate of $1 ,850 , and may be eligible for certain benefits. For a general description of all Analysis Group employment benefits, click  here .

How To Apply

When submitting your application, please include a resume and cover letter.

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