Summer 2025 Technology Interns

​Why Ryan?

The Intern, Innovation Lab (“Intern”) is responsible for assisting in the development of computational models for legal and tax reasoning. Interns will work on a team of experienced technologists on projects servicing Fortune 500 to research leading edge technologies, participate in hackathons and ongoing R&D efforts. The internship will culminate in the opportunity to present deliverables to executive leadership.

Duties and responsibilities, aligned to Ryan’s Key Results:

• Participate in one or more “hackathon” activities with internal and external developers creatively solve client challenges.

• Engage in discovery sessions with internal clients to uncover innovation opportunities and drive product decisions.

• Contribute to the management of client data and implementations at points throughout the engagement lifecycle.

• Independently generate, test, and deploy ideas for proofs of concept that contribute to the strategic mission of the Innovation Lab.

• Develop AI/ML/NLP models based on an understanding of the current state of the art, and through independent literature review.

• Validate and evaluate machine learning models to meet the business requirements and expected outcomes, as well as the standards of the Firm.

• Demonstrates ability to document and translate requirements while making connections to business processes and potential risk and technology solutions.

• Demonstrates Ryan’s core values by helping to create a positive, accountable work environment for a growing, entrepreneurial team.

• Performs other duties as assigned.

Education and Experience:

• Working towards a Bachelor’s degree or Master’s degree in progress in Data Science, Mathematics, Computer Science, or Information Systems.
• Anticipated graduation within one year of internship
• Minimum Overall GPA of 2.8
• Hands on experience developing Machine Learning models in a classroom environment.
• Fluency in at least one programming language, with a strong preference for Python.

Strong Differentiators:

• Experience with Natural Language Processing tools and techniques.
• Experience with Computer Vision/Object Recognition tools and techniques.  
• Exposure to accounting processes and applications.
• Strong communication/interpersonal skills.

Computer Skills:

In addition to the technical skills listed above, the candidate must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, Visio, and Internet navigation and research. 

Certificates and Licenses:

Valid driver’s license (required)

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Work Environment:

• Standard indoor working environment.
• Occasional long periods of standing.
• Position requires regular interaction with employees and vendors both in person and via e-mail and telephone.
• Travel requirement will be less than approximately 10%.

Equal Opportunity Employer: disability/veteran