​Why Ryan?

Competitively Paid Internship

Award-Winning Culture

Paid Holidays (Juneteenth, Independence Day)

Mentorship Opportunities and Hands-On Training

Networking with Industry Leaders

All-Expense-Paid Trip to Ryan Headquarters in Dallas, TX

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 internshipMinimum Overall GPA of 2.8Hands 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