Data Scientist Intern

{"description": " 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.

", "salary_raw": null}