Internal Audit Data Science Engineer

Cloudflare
HybridPosted 24 February 2026

Job Description

<div class="content-intro"><div><strong>About Us</strong></div> <div> <p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. </p> <p><span style="font-weight: 400;">We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! </span></p> </div></div><p><strong>Available Locations: Bengaluru, India </strong></p> <p><strong>About the Department</strong></p> <p>The Internal Audit (IA) organization is responsible for delivering high-quality objective and independent assurance over the Company’s key business risks to the Audit Committee and Management in a cost effective way and consistent with Professional Standards. Reflecting the Company’s core value of continuous improvement, the function is in the process of moving toward wider coverage of operational risks, exploring more efficient audit approaches and industry best practices where appropriate. Our mission is to drive meaningful change in the control environment and risk management capabilities by delivering impactful and solution-oriented engagement and partnership.</p> <p>As we increase the use of data, technology and AI driven solutions across our various activities, we are committing to this becoming core to our organization by building a Data Engineering capability in our Bengaluru office. Our Data Engineers will be a critical role working closely with our global risk and audit team to build our data analytics, automation and continuous auditing strategy and program. Reporting into the Senior Director of Cybersecurity and Technology Audit, this role will build and implement advanced audit capabilities using data, code, AI and other available toolsets. The ideal candidate will have the energy and intellectual curiosity to continue to deepen technical capabilities and broaden subject matter expertise, asserting their mission in delivering data-driven, advanced audit capabilities to the core of our team across all areas of audit, compliance and risk management.</p> <p> </p> <p><strong>What you’ll do</strong></p> <ul> <li>Applying an AI and data-driven mindset, serve on our growing Risk Controls Engineering program that will deliver advanced audit capabilities including automation, continuous auditing and data analytics </li> <li>Develop and implement AI-driven solutions using available tools, supporting our audit teams and audit operations</li> <li>As a data champion, will elevate awareness within the IA team on the appropriate and possible uses of data in performing our assurance and advisory work</li> <li>Drive data science/analytics initiatives within Internal Audit, leveraging advanced analytical techniques to enhance audit procedures and identify risks</li> <li>Design and execute on data-driven testing of key controls throughout in-scope processes, systems and programs, elevating levels of assurance and coverage</li> <li>Build relationships with key data leaders and owners, ... (truncated, view full listing at source)