Top Internships

Software Development Interns learn development tools and programming practices while collaborating with mentors and peers. They complete simple coding tasks, contribute to design discussions, document and test software features, participate in code reviews, incorporate feedback, and develop understanding of the team’s business domain. The role emphasizes Java programming, analytical problem-solving, communication, teamwork, organization, attention to detail, and documentation.

Software development intern collaborating with mentors and peers to design, implement, test, document, and review software features. The role includes learning development tools and programming practices, completing coding tasks, participating in design discussions and code reviews, incorporating feedback, and developing knowledge of the team’s business domain. Strong Java programming, analytical, communication, documentation, organizational, teamwork, and problem-solving skills are required.

Software development intern working with mentors and colleagues to design, implement, test, document, and review software features. The role involves learning development tools and programming practices, completing coding tasks, participating in design discussions and code reviews, incorporating feedback, and developing knowledge of the business domain. Candidates should have basic Java programming skills, strong analytical and problem-solving abilities, attention to detail, communication skills, and be pursuing a four-year Computer Science or related degree.

Software development intern working with mentors and teammates to design, implement, test, document, and review software features. The role involves learning development tools and programming concepts, completing coding tasks, participating in design discussions and code reviews, applying feedback, and developing domain knowledge. Candidates should have basic Java programming skills, strong analytical and problem-solving abilities, attention to detail, communication skills, teamwork, and be pursuing a computer science or related four-year degree.

Collaborates with mentors and peers to design, code, test, document, review, and launch software features. Learns development tools and programming practices, completes simple coding tasks, contributes to design discussions, incorporates feedback, and develops domain knowledge while pursuing a computer science degree.

Technical Product Management Intern supporting product analytics, usage metrics, business cases, and feature development. Responsibilities include quantitative and qualitative data analysis, translating insights into product recommendations, extracting and transforming platform data with Python, accessing financial analytics, and developing business intelligence dashboards and reports using SQL, Neo4J, Superset, Notebooks, Grafana, and Prometheus.

Summer engineering internship supporting aerospace production and operations. Responsibilities include assisting customer deliveries, driving process improvement and waste reduction, collaborating with engineers on aerospace technology, providing engineering support, engaging management, and presenting results to executives. The role is intended for students pursuing engineering or computer science degrees and may lead to future full-time aerospace opportunities.

Develop and maintain an AI and operations platform that converts organizational knowledge into reusable automation, Infrastructure-as-Code patterns, and standardized workflows. Build operational dashboards for platform health, workflow execution, automation adoption, and KPIs across critical infrastructure. Support self-service automation, modernization, resiliency, governance, and continuous improvement across compute, storage, mainframe, and HP environments.

Supports Mastercard’s AI Ops team by applying data science, machine learning, and AI agent techniques to detect anomalies, predict operational impact, initiate remediation, and create dashboards, reports, and alerts. Interns collaborate with stakeholders to generate insights for application monitoring, troubleshooting, and planning while gaining mentorship and professional development experience.

Develop and maintain Salesforce customizations, automation, integrations, Apex code, and Lightning Web Components under senior guidance. Support testing, debugging, deployments, data migration, user support, and documentation. Help build and improve an AI support agent using Salesforce data, knowledge content, and LLM integrations. Collaborate with business analysts and stakeholders while developing Salesforce platform expertise.

Provides first-tier IT help desk support, troubleshoots hardware, software, network, and operating-system issues, escalates incidents, assists with employee onboarding, and supports IT projects. Responsibilities also include workstation and equipment installation, inventory organization and tracking, documentation, SOP development, and maintaining a safe workspace. The role requires knowledge of endpoint management, Azure Active Directory, Windows, macOS, Linux, networking, firewalls, and scripting, along with basic mechanical aptitude and the ability to lift 50 pounds.

Supports field marketing campaigns, events, content, and reporting in collaboration with Marketing and Sales teams. Responsibilities include email builds, content formatting, event logistics, campaign evaluation, documentation, and review participation. The intern learns marketing tools and workflows, contributes to planning discussions, incorporates feedback, and communicates campaign impact while developing practical field and event marketing expertise.

Lead cloud technology consulting projects that solve complex business problems, ensuring scalable, resilient, cost-effective delivery. Provide technical expertise, manage project execution, develop business cases, mentor team members, collaborate with global teams, and support innovation and thought leadership. The role requires strong communication, project management, cloud platform expertise, enterprise data management, analytics, automation, application development, and agile delivery experience.

Support client-facing teams in analyzing business problems, translating requirements into technical designs, and implementing technology solutions. Responsibilities include developing technical features with SQL and Python, applying agile and testing methodologies, interpreting business requirements, supporting project implementation plans, and collaborating with internal and client teams. The role requires strong analytical, communication, and problem-solving skills, with exposure to cloud platforms and big data concepts.

Supports consulting engagements through market and desk research, quantitative analysis, problem solving, client presentations, relationship management, and project planning. The intern develops recommendations for client business challenges, communicates insights, tracks risks and deadlines, and supports team members. The role requires strong analytical, communication, organizational, leadership, and collaboration skills while completing doctoral studies.

Supports consulting project teams by researching markets, developing analyses, applying problem-solving frameworks, synthesizing insights, communicating findings, and collaborating with clients to implement solutions. The intern owns assigned deliverables and may support change initiatives and client decision-making. Strong performance may lead to a full-time offer.

Develop advanced statistical models and custom analyses using R, Tableau, SAS, Visual Basic, and Excel to address client business challenges. Apply data-driven decision-making, synthesize findings, present recommendations, build client relationships, provide project updates, create deliverables, implement solutions, and mentor associates. The role requires collaboration, strong communication, quantitative problem-solving, and client-facing consulting work.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Supports clients with strategic decision-making and organizational transformation. Responsibilities include analyzing complex business issues, leading client discussions, communicating with senior executives, developing PowerPoint deliverables, coordinating project execution, coaching team members, contributing thought leadership, and supporting business development. The role focuses on healthcare-related transformations across commercial, marketing, clinical, medical affairs, analytics, and technology areas.

Develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. Identify trends, evaluate emerging data technologies, and communicate analytical findings to clients and ZS stakeholders. The role requires collaboration across multiple projects, strong quantitative and research skills, and proficiency with Python, SQL, Pandas, and PySpark. Client-facing work may require travel.

Contribute to next-generation DRAM technology development by defining design rules, structural requirements, and electrical specifications. Collaborate with process, device, materials, simulation, architecture, circuit design, and quality teams. Maintain integration plans and technical documentation, assess device architectures and scaling approaches, resolve technical issues, and use AI-assisted tools and data-driven methods to support engineering analysis and decision-making.

Supports semiconductor process engineering, Real-Time Defect Analysis, and metrology activities in a memory manufacturing fab. Responsibilities include data collection and analysis, SEM and defect review support, measurement and equipment workflows, documentation, request tracking, and process improvement. The intern will collaborate with engineers and technicians and complete an AI-focused project involving RDA, metrology, automation, data analysis, or recipe workflows before presenting findings.

Develop systems software, profiling tools, benchmarks, and experimentation frameworks for LLM training, inference, and agentic AI workloads. Optimize performance across GPUs, CPUs, memory, storage, and distributed systems, including caching, scheduling, data placement, and state management. Analyze experimental results and collaborate with research and engineering teams on AI infrastructure innovations, technical publications, intellectual property, and future platform designs.

Participate in a structured 10-week actuarial internship supporting projects in pricing, product development, reserve calculations, actuarial modeling, financial analysis, asset liability management, and investments. Collaborate with experienced actuaries, attend professional learning sessions, present project findings, and engage in networking and development activities. Interns will build technical, analytical, communication, and business insight skills while exploring actuarial career paths and emerging technologies.

Electrical Engineering Interns will gather requirements, design, and validate avionics assemblies and test fixtures. They will work across power electronics, communications, RF, and related disciplines; build test stands involving relays, PLCs, PCBAs, and harnesses; use Python for test automation, analysis, and simulations; and participate in cross-functional design reviews. The internship is a 10–12-week paid program for students pursuing Electrical Engineering or a related STEM degree.