AI Solutions Consulting Internship Summer 2026

Campus OpportunitiesBoston, MA
19hOnsite

About The Position

Withum is a place where talent thrives - where who you are matters. It’s a place of endless opportunities for growth. A place where entrepreneurial energy plus inclusive teamwork equals exponential results. Explore different industries. Learn new skills. Connect with our diverse teams of professionals to gain insight into the career you envision. Your Career Starts with You. Experience the Transformative Power of Withum Plus You - that’s the Power in the Plus! Withum is a forward-thinking, technology-driven advisory and accounting firm that helps clients be in a position of strength in today’s business landscape. Withum empowers clients with innovative tools and solutions to address their accounting, tax, and overall business management needs. We recruit the best and brightest people who are passionate about helping businesses grow and thrive. We are seeking a passionate and technically capable AI Solutions Intern to join our Valuation team. In this role you will design and implement custom AI agents and automation programs to streamline our day‑to-day workflows, including advanced integrations with Microsoft Excel and Word. Working alongside industry professionals, you will research, prototype and deploy AI solutions that have a measurable impact on our operations. This is a paid internship designed for students or recent graduates who have hands‑on experience with AI/ML tools, a strong drive to learn and innovate, and familiarity with financial modeling. Internship Periods: 40 hours a week in-person in the Boston Seaport Office Summer Internship: June 1st through August 14th, 2026

Requirements

  • Currently enrolled in or recently completed a degree program in Computer Science, Data Science, Engineering or a related field.
  • Proficiency in Python (or similar) and familiarity with AI/ML libraries such as TensorFlow, PyTorch or Scikit‑learn.
  • Strong understanding of statistics and linear algebra.
  • Experience with data preprocessing and manipulation (Pandas/Numpy).
  • Proficiency with Microsoft Office, especially Excel and Word; familiarity with scripting or macros in these applications and generative AI tools like Microsoft Copilot.
  • Ability to build and interpret financial models; knowledge of forecasting, budgeting and sensitivity analysis techniques.
  • Strong problem‑solving and analytical thinking skills; effective communication and collaboration abilities.

Nice To Haves

  • Hands‑on experience integrating AI capabilities into Office applications (e.g., Copilot Studio, add‑ins or macros).
  • Familiarity with financial modeling software or coursework, and experience using AI to automate modeling tasks.
  • Experience with cloud platforms (AWS, GCP), version control (Git) and advanced Excel features such as Power Query, pivot tables and data visualization.

Responsibilities

  • AI Agent Development & Integration
  • Design, build and optimize custom machine‑learning models and AI agents for internal use.
  • Integrate AI into Microsoft Office tools by testing and evaluating Copilot functionalities within Excel and Word to identify productivity and automation opportunities.
  • Write scripts and code to deploy and tune AI applications, including Excel and Word add‑ins.
  • Data Preparation, Analysis & Financial Modeling
  • Prepare and clean datasets to improve model performance.
  • Analyze data to extract insights for AI model development and assist in building and refining financial models, forecasts and budgets in Excel.
  • Collaborate with finance teams to apply AI techniques to financial modeling and analytics. Use advanced Excel formulas and financial modeling best practices to support investment or budgeting decisions.
  • Research & Innovation
  • Conduct research on current AI trends, including prompt engineering for Copilot and other AI‑based Office features, workflow optimization and document summarization.
  • Evaluate off‑the-shelf AI tools and agent frameworks (e.g., Copilot Studio, LangChain) and recommend technologies for internal adoption.
  • Testing, Documentation & Training
  • Assist in testing and evaluating AI models to ensure they function as expected and address any issues or inaccuracies.
  • Document experiments, model development processes and results for future reference.
  • Contribute to training materials, demos and internal guides to promote AI fluency and responsible use of generative AI tools.
  • Collaboration & Communication
  • Work closely with engineers, data scientists, finance professionals and other stakeholders to integrate AI solutions into existing workflows.
  • Present findings and prototypes to the team and gather feedback to iterate on solutions.
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