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Supports a Records Management System technology team through data ingestion, testing, validation, troubleshooting, system integration support, log review, documentation, and operational readiness activities. Participates in Agile ceremonies and collaborates with engineers, analysts, and technology partners on project work. The 12-week internship provides exposure to enterprise technology operations, data transfers, cloud platforms, databases, scripting, APIs, and identity management.

Finance summer interns analyze portfolio performance, support forecast models, develop financial forecasts, consolidate reporting, and evaluate operational risks and controls. They use data manipulation, visualization, and Excel to identify business trends and provide insights. Interns also support modernization and risk tasks, collaborate across staff levels, and receive training and mentoring. The 12-week program requires current enrollment in an accredited college or university with expected graduation in December 2027 or later.

This 12-week AI engineering internship supports the development and implementation of generative AI solutions. Responsibilities include research, analysis, AI engineering projects, data processing, report generation, operational support, and collaboration across teams. Candidates will apply knowledge of Python, LLMs, prompt engineering, vector databases, RAG, APIs, data engineering, and cloud development while pursuing a relevant degree.

Supports the Legal Department through cross-functional projects, research, process improvement, executive presentations, communications, documentation, and project tracking. Interns monitor milestones, organize records, assist with strategic initiatives, and observe leadership discussions. The 12-week program is intended for students pursuing a bachelor's or master's degree with graduation expected in December 2027 or later.

This internship supports application security programs through SAST and SCA tool onboarding, scan monitoring, vulnerability triage, reporting, documentation, and secure development engagement. The intern will create dashboards and technical content, maintain tracking records, support Security Champions activities, coordinate meetings, and assist with research, testing, and process improvements.

Supports enterprise data risk governance through research, data analysis, risk assessments, documentation reviews, reporting, dashboard development, remediation monitoring, and stakeholder collaboration. The intern will evaluate data quality, metadata management, critical data elements, ownership, controls, and governance practices; identify gaps and trends; prepare leadership materials; and assist with effective challenge and oversight activities.

Supports fraud data governance through metadata management, data quality analysis, data profiling, documentation, validation, and system analysis. Collaborates with data engineers, analysts, scientists, fraud teams, and enterprise partners on governance and AI-readiness initiatives. Contributes to Databricks notebooks, data quality monitoring, data validation frameworks, Agile activities, and solutions involving large-scale fraud datasets and cloud technologies.

Supports Security and Fraud project planning, execution, reporting, documentation, stakeholder communications, risk tracking, budgeting, and Agile delivery. The intern will maintain project schedules and governance artifacts, coordinate meetings, monitor milestones, collaborate with business, technology, operations, and vendor teams, and contribute to funding analysis, ROI reviews, process improvements, and audit-ready records.

This 12-week internship supports workforce optimization through operational data analysis, staffing models, forecasting, scenario planning, and Power BI dashboard development. The associate will create predictive staffing tools, document dashboards, analyze branch expansion strategies, and present insights to stakeholders and senior leaders. The role requires collaboration with the Workforce Optimization team and participation in day-to-day analytical and strategic activities.

Summer data science intern supporting marketing machine-learning initiatives. Responsibilities include building predictive and propensity models, designing A/B and randomized control experiments, analyzing member behavior, developing segmentation strategies, creating dashboards, conducting campaign analyses, and presenting findings to stakeholders. The role requires collaboration across teams and enrollment in a relevant bachelor’s or master’s degree program with graduation expected in December 2027 or later.