About the job
About DataVisor:
DataVisor stands at the forefront of AI-driven fraud detection and risk management, offering unparalleled detection capabilities through our innovative SaaS platform. Our platform enables seamless data consolidation and enhancement, allowing organizations to proactively address evolving fraud and money laundering threats in real time. With proprietary unsupervised machine learning technology, advanced device intelligence, and a robust decision-making engine, our solutions deliver exceptional performance from day one. Recognized as an industry leader, DataVisor is trusted by numerous Fortune 500 companies worldwide.
Our award-winning team comprises top experts in big data, machine learning, security, and scalable infrastructure, fostering a culture that values collaboration, positivity, and results. We invite you to join us!
Position Overview
The Delivery Engineering Team at DataVisor is seeking a Delivery Engineer Intern (DEI) for Summer 2026. In this role, you will leverage our cutting-edge fraud detection SaaS products to address critical fraud and risk challenges for our esteemed clients. Your responsibilities will include providing technical solutions and consultative services to a diverse portfolio of Fortune 500 customers within the FinTech, Banking, and E-commerce sectors. You will manage detection system performance, troubleshoot product issues, and offer expert guidance on utilizing our machine learning models, rules engine, and device intelligence signals to effectively combat fraud and risk. Additionally, you will collaborate with Engineering and Product teams to implement innovative ideas into our analytics solutions.
This internship is ideal for students pursuing a degree in Computer Science or Computer Engineering, looking to gain practical experience in fraud detection and machine learning prior to graduation. Successful candidates may have the opportunity to transition into full-time roles upon graduation.
Key Responsibilities:
- Collaborate with the Solution Architect to design client delivery solutions.
- Facilitate onboarding for new clients or new use cases for existing clients.
- Work with internal teams (R&D, infrastructure, algorithms) to troubleshoot and resolve client issues.
- Coordinate with vendors to address any requirements or issues.
- Develop code for integration with client systems.
- Document processes for each project, including design documentation, architecture, and training materials.

