WEX is a global commerce platform that has been simplifying the way businesses operate for over 40 years. Our purpose is simple: to reduce administrative burdens, streamline payments, and manage mobility. With a team of over 7,200 professionals across 16 countries.

Our specialties are employee benefits, business payments, and fleet/mobility solutions. We support more than 20 million SaaS accounts, 8 million Health Savings Accounts, and 19+ million vehicles worldwide. We're a growing company with a history of innovation and a focus on our customers, making this a great place to grow your career.

We offer remote, hybrid, and onsite options for flexibility, and our goal is to bring top interns back full-time or offer them extended roles during the school year.

Imagine starting your career with a company that’s building what's next. Your future starts here.

About the Team/Role:   

We are seeking a highly motivated and talented undergraduate student in Computer Science or a related field to join our Data, AI, and Risk Technology (DART) team as a Summer Intern. This is a unique opportunity to contribute to cutting-edge AI/ML applications, our next-generation agentic AI platform, Big Data, fraud and credit risk technologies in the FinTech industry, working alongside experienced engineers and researchers to solve real-world challenges. You will gain valuable experience building AI agents, developing and deploying AI/ML models, working with big data and risk technologies, and contributing to a dynamic and innovative team.

How you’ll make an impact:

• Contribute to impactful projects: Work on challenging projects that leverage AI/ML to address critical business needs in areas such as fraud prevention, credit risk assessment, and data-driven real time decision making.

• Build agentic AI solutions: Help develop and enhance our agentic AI platform, building intelligent agents that automate workflows, assist decision-making, and solve real-world problems across engineering, product, operations, and customer experiences.

• Data Transformation: Develop advanced platforms and tools to process, enrich, and optimize core company data, ensuring it’s easy and efficient to use—unlocking value for both customers and internal teams.

• Develop and deploy AI/ML models: Design, implement, and evaluate machine learning models, applying advanced techniques to solve complex problems in a fast-paced tech landscape.

• Work with big data technologies: Gain experience with big data tools and technologies, including data ingestion, processing, and analysis.

• Collaborate with experts: Partner with experienced engineers and researchers to brainstorm solutions, overcome technical challenges, and contribute to innovative projects.

• Present your work: Share your research findings and project outcomes with the team and stakeholders.

Experience you’ll bring:

• Educational Foundation: Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field and will have completed at least your Sophomore year of school at the start of the internship.

• Strong Programming Skills: Proficient in coding (Python, Java, Go, etc), automated testing, and system monitoring.

• AI/ML Expertise: Solid understanding of machine learning algorithms, techniques, and best practices.

• Data-driven mindset: Experience working with data, including data analysis, manipulation, and visualization.

Preferred Skills:

• Experience with cloud computing platforms (AWS, Azure, GCP).

• Familiarity with DevOps practices and tools.

• Contributions to open-source projects or publications in relevant conferences.

• Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools.

• Customer-Centric: A strong desire to solve customer and business problems through thoughtful and effective solutions.

• Solution-Oriented: Desire to learn robust design solutions for small to medium-scale problems or system components.

• Excellent communication skills: Ability to clearly communicate technical ideas and collaborate effectively with team members.

• Self-Driven Learner: Highly motivated, curious, and eager to explore new technologies and apply them to enhance productivity and deliverables. For example, proactively utilizing GenAI tools to streamline workflows and build cutting-edge solutions.

• Passion for Innovation: Enthusiasm for working with big data technologies, AI/ML, risk engineering, and cloud infrastructure.