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Participate in a six-month internship applying data engineering, analytics, and technology to business problems. Build and maintain data pipelines, models, applications, and scalable processing solutions; analyze complex datasets; apply statistical, machine learning, and AI techniques; translate business requirements into technical solutions; and collaborate with international teams while communicating findings to technical and non-technical stakeholders.

Develops, deploys, validates, and supports machine learning models for A2A fraud, scam, and mule detection. The role analyzes large-scale datasets, conducts customer proof-of-value exercises, improves production models, researches new detection solutions, and collaborates with Product, Customer Delivery, and Data Science teams to deliver measurable financial crime prevention outcomes.

Manages Mastercard’s relationships with fintech partners across the EEMEA region, supporting account strategy, revenue optimization, pipeline development, commercialization, and P&L management. Builds strategic partnerships, identifies business development opportunities, develops financial models and business cases, leads negotiations, coordinates contracts, and drives multi-market initiatives. Provides payment and market insights, manages senior stakeholder relationships, supports QBRs, and develops growth roadmaps for fintech customers.

Participate in a six-month internship developing data pipelines, models, applications, and scalable data-processing solutions. Analyze complex datasets, apply statistical and machine-learning techniques, translate business needs into technical solutions, and communicate insights to stakeholders. Collaborate with international teams while exploring technologies that improve data and AI capabilities.

Participate in a six-month internship developing data pipelines, data models, scalable processing solutions, and data-driven applications. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with cross-functional teams. The role includes mentorship, networking, performance assessments, and presenting project outcomes to leadership.

Design, build, deploy, and operate enterprise AI, machine learning, generative AI, and agentic AI systems. Productionize prototypes into scalable platforms, develop end-to-end ML pipelines and LLM applications using RAG and vector databases, and implement MLOps and AgenticOps practices. Architect cloud-native services with Kubernetes and microservices, optimize reliability and performance, and ensure security, privacy, compliance, governance, and responsible AI standards. Collaborate with technical and business stakeholders on reusable AI capabilities and strategic roadmaps.

Supports technical or technology-regulatory programs through project scheduling, dependency and risk tracking, stakeholder coordination, reporting, documentation, governance, and process improvement. The intern will help monitor deployments or strategic initiatives, identify blockers, analyze program data, communicate complex information to diverse stakeholders, and ensure deliverables remain on track. The role requires onsite work in Dublin at least three days weekly during the summer 2027 internship period.

Leads quality engineering across complex projects, including test strategy, planning, automation, validation, integration testing, and release readiness. Designs tests for APIs, systems, services, data flows, and interfaces using Playwright, Cypress, Gatling, and BlazeMeter. Partners with product and engineering teams to clarify requirements, troubleshoot technical issues, manage risks, and improve workflows. Communicates quality insights to stakeholders, mentors colleagues, and promotes scalable quality practices.

Owns digital payments and authentication products across MENA East, including MDES, wallets, Click 2 Pay, tokenization, Passkeys, and Agentic Commerce. Acts as a product subject matter expert, supports solution selling and client engagements, enables market localization, monitors customer success, shares market intelligence, and helps account teams develop relevant solutions. The role manages product KPIs and revenue objectives across the UAE, Pakistan, Qatar, Kuwait, and Oman.

Designs and implements automated test frameworks and Java-based automation for API, UI, integration, regression, and end-to-end testing. Integrates tests into Jenkins CI/CD pipelines, performs defect and root-cause analysis, defines test strategies, and collaborates across development, product, and DevOps teams. The role also involves Agile participation, quality engineering improvements, and mentoring junior engineers.