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Analysis Group · 1 day ago

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

Boston, MA

Internship

Onsite

Intern

$1,850/wk - $1,850/wk

Start in 2026

Analysis Group is one of the largest economics consulting firms, providing expertise in economics, finance, health care analytics, and strategy. They are currently seeking a Data Science Intern to assist in developing and maintaining tools and methodologies related to data science, while contributing to client engagements and research efforts.

Consulting

Growth Opportunities

No H1B

Responsibilities

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

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)

Leveraging 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)

Qualification

PythonRStatistical analysisData visualizationLinuxCloud computingMachine learningAnalytical thinkingInterpersonal skillsCommunication skills

Required

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

Experience working within a Linux environment is required

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

Preferred

Familiarity with online/cloud computing and storage platforms (e.g., Azure, AWS) is preferred, along with experience working within an HPC environment

Experience with Docker and web development experience (with frameworks such as .NET, FastAPI, Flask, Node, Vue.js, React.js) are a plus