Senior Data Science Intern (PhD) - 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 Senior 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 Senior 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 Senior 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 Senior 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 PhD is required, preferably in Computer Science, Data Analytics, Data Science, Economics, Mathematics, Statistics, or related subjects
• Proven ability to independently apply advanced statistical and mathematical methods to tackle complex research questions and drive meaningful insights  
• 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 is a plus, as well as experience with Docker and front-end development using a JavaScript framework (e.g., Vue.js, Angular)
• 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 ot