Data Scientist Intern

Descripción del puesto:

What We Need Looking for a summer internship with a highly dynamic, entrepreneurial company? Seeking a rewarding summer experience that will stand out from the crowd? Corpay is a leading global payments and financial services firm headquartered in Atlanta, GA. We invite you to join our 8-10 week paid summer internship program for rising juniors and seniors. How We Work As an intern you will be expected to work in an in-office environment. Corpay will set you up for success by providing: Assigned workspace in office our Buckhead office location Company-issued equipment Formal, hands-on training Role Responsibilities This full-time internship will involve working directly with our Director of Data Science, and data scientists, on multiple high-visibility AI models, responsibilities include: Performing exploratory data analysis to uncover trends and patterns, and applying statistical and machine learning techniques to support use cases such as customer segmentation, lead prioritization, and revenue optimization. Developing and evaluating predictive models and AI-driven solutions, including leveraging large language models (LLMs). Cleaning, transforming, and integrating data from multiple sources to ensure high-quality inputs for analysis and modeling. Building AI agents and visualizations to communicate insights clearly to stakeholders and support business decision-making. Collaborating with cross-functional teams to translate business problems into data science and AI solutions, and iterating based on feedback and performance. She/he will be supervised, participating in meetings, stand up meetings when possible, and connect 1:1 with her direct supervisor. Additional supervision will include: Setting expectations and goals throughout the duration of the internship Give quality feedback based off her ideas and suggestions regarding her internship projects Team mentorship Qualifications & Skills Currently enrolled in an accredited Bachelor's or Graduate degree program in Data Science, Statistics, Computer Science, Economics, or a related quantitative field; rising junior or senior preferred. Strong academic record with a GPA of 3.5 or higher. Proficiency in Python or R (e.g., pandas, scikit-learn) and SQL; familiarity with data analysis, statistical methods, and basic machine learning concepts. Exposure to AI/ML techniques, including experience or interest in working with large language models (LLMs), text analysis, or data-driven automation is a plus. Experience in cloud environments like AWS, Aruze. Strong written, verbal, analytical, and interpersonal skills, with the ability to communicate insights effectively to both technical and non-technical audiences. Demonstrates maturity, professionalism, and a proactive, problem-solving mindset. Must be able to commit to a full-time schedule (40 hours/week) for 10-12 weeks during the summer internship period