METx D&A Intern
Job details
- Location
- Cary, North Carolina
- Work type
- Hybrid
- Compensation
- $58,240 - $62,400/yr
- Posted
- Sep 30, 2026
- Apply on
- metlifecareers.com
About this role
Description and Requirements
Description and Requirements
At MetLife, data isn’t just a tool – it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data – one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business – you’re empowering it. Let’s transform insight into impact and data into action, together.
Description and Requirements
Description and Requirements
As a METx Data & Analytics undergraduate intern, you’ll work alongside experienced data professionals, contribute to real projects, and share your outcomes and learning experiences with peers and leaders at the end of the program. Our program is designed for students who are curious, adaptable, and eager to learn new technologies in a collaborative, innovative environment.
Application Process & Program Information
- Applications for this role will close December 1, 2026.
- Qualified candidates will be invited to interview on a rolling basis – no interview activity will take place between December 21, 2026 through January 18, 2027.
- Candidates must be authorized to work in the United States and must not require MetLife sponsorship or support for a work permit or visa in any capacity now or in the future.
- Interns will start in person on June 1st, 2027 and will work approximately 40 hours /week over the course of ten weeks – candidates must be available for the entire duration of the program.
- All D&A interns will be hybrid in Cary, NC.
- MetLife does not provide housing or a relocation/housing stipend or support for this role.
Description and Requirements
Description and Requirements
Our interns work on meaningful projects impacting millions of customers, receive mentorship from highly skilled data experts and industry leaders, and build robust technical skills. At the end of the internship, you will have a chance to share your project outcomes and learning experiences with peers and leaders. Intern projects may include:
- Data Engineering & Pipeline Automation: Automate data pipelines using Azure and Databricks to support business reporting.
- Machine Learning & Predictive Analytics: Develop machine learning models to predict customer behavior, pricing, threat monitoring, and other outcomes based on historical data patterns.
- Generative AI & Agentic AI Innovation: Brainstorm and develop potential GenAI and Agentic AI solutions to enhance operations and capabilities.
- Analytics Solution Development: Develop and test analytics solutions, including writing Databricks notebooks and validating data.
- Business Process Analysis & Improvement: Analyze, identify opportunities for improvement, and document business processes to support data-driven projects.
- Data Visualization & Reporting: Build dashboards and reports to visualize key business metrics.
- Production Support & Incident Management: Provide production support and help resolve data-related incidents.
- Data Governance & Management: Document key data assets, apply data governance standards, and support data management to improve transparency and compliance.
- Strategic Initiatives & Cross-Functional Collaboration: Support strategic or operational initiatives while collaborating with cross-functional teams.
Description and Requirements
Description and Requirements
- Currently pursuing a bachelor’s degree or post-secondary training in Data Science, Business Analytics, Artificial Intelligence, Computer Science, Applied Mathematics, Statistics, Management Information Systems, or a related field.
- Must have an expected graduation date no later than June 2029.
- Minimum GPA of 3.0.
- Strong analytical mindset with ability to identify patterns and insights from data as demonstrated through academic coursework or personal projects.
- Coursework or experience with at least one programming language or analytics tool (e.g., Python, SQL, Scala, C#, C++).
- Ability to analyze, ingest, and organize raw data and perform data transformation for modeling.
- Knowledge of or experience using AI models, integrating AI-enabled solutions into business or technical workflows.
- Desire to learn new technologies, tools, and business processes.
- Strong communication and critical thinking, and teamwork skills.
- Curiosity, adaptability, and a growth mindset.
Description and Requirements
Description and Requirements
- Exposure to data visualization tools (e.g., Tableau, Power BI) or cloud platforms.
- Familiarity with cloud-based data and analytics environments, particularly Microsoft Azure and Databricks.
- Experience with collaborative tools (e.g., GitHub, Azure DevOps) or agile methodologies.
- Exposure to data governance tools (e.g., Collibra, Ataccama, EDC).
- Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate).
- Experience with data pipelines, systems, and process design.
- Exposure to advanced analytics, machine learning, and feature engineering.
Description and Requirements
Description and Requirements
The expected salary range for this position is $28-30 /Hour.
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!
MetLife maintains a drug-free workplace.