Finance Sales Operations AI and Data Science Intern

Intuitive•Peachtree Corners, GA

About The Position

As a Finance Sales Operations AI and Data Science Intern, you will be an integral part of our finance team, specifically the Sales Operations and Strategy team. You will report into one of our finance managers and be mentored by an experienced data analyst. You will learn about the intersection of AI and business growth, completing work that is challenging, impactful, and technically rigorous. You will learn to apply tools such as Tableau, SQL, Python, and LLM frameworks to solve real-world problems. Your responsibilities will focus on areas such as process improvement and efficiency, business decision support, compliance, and reporting.

Requirements

Superb analytical skills and experience working with data (wrangling, cleaning, summarizing, tec.), including at least one major quantitative research project desired (e.g. stats or econometrics term papers)
Excellent attention to detail
Ability to communicate effectively (written, oral)
Excellent interpersonal skills including a collaborative work style
Deep desire to learn and acquire new skills
Self-motivated, curious, and comfortable with ambiguous challenges
High integrity with the ability to handle confidential information and data appropriately
Familiarity with LLM frameworks, Python/ R, Microsoft Excel and PowerPoint
3.0+ GPA (please list on resume)
Authorization to work in the US is a prerequisite for employment
Sponsorship of work visa is not available
University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.
Current enrollment and completion of at least two years of an undergraduate program in finance, business administration, data science, computer science, accounting, economics, or related field prior to internship.