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MetLife

Graduate Student Data & Analytics Internship

Posted 3 Hours Ago
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Hybrid
Cary, NC
40-40 Hourly
Internship
Hybrid
Cary, NC
40-40 Hourly
Internship
Interns will assist with building dashboards, creating machine learning models, and modernizing data systems while collaborating with stakeholders across MetLife.
The summary above was generated by AI
Description and Requirements
The Opportunity
When you join MetLife's U.S. Business Data & Analytics team, you'll directly support U.S. sales and customer experience by delivering accurate information and targeted analytical products to our Business partners. We combine deep MetLife business knowledge with industry-leading technical expertise. Through transparent collaboration, accountability to our partners, and a commercial mindset, we drive data-informed decisions that create measurable business value, prioritizing efficiencies, and strengthening stakeholder relationships.
We are seeking Master's-level Data & Analytics Interns to join our team. This internship is designed for graduate students interested in assisting with diverse projects such as building dashboards, creating machine learning models, modernizing data systems, streamlining operations data processes, and more. Selected candidates will have strong communication skills and knowledge in data science, data modeling, data engineering, business intelligence, data analysis, artificial intelligence, or other data & analytics skills as described by the candidate's resume. We're seeking a candidate who's interested in applying data and analytics to solve real-time business challenges. Because interns will work with stakeholders across MetLife, strong relationship building skills are a must!
Roles will sit in one of the following areas within USB D&A:
  • Disability & Life Insurance
  • Pet Insurance
  • Dental Insurance
  • Employee & Broker Benefits
  • MetLife Data Hub
  • Engagement Strategy
  • USB D&A Strategy and Operations

Intern projects are varied and aligned to business needs.
What You Will Do (Key Responsibilities)
  • Create targeted Machine Learning models for various business purposes
  • Assist in the development of new tools and processes using AI capabilities
  • Design dashboards and translate technical data into digestible business insights
  • Solve business problems using Python, Azure Cloud, PowerBI, Databricks, Erwin, Collibra, GenAI and/or other tools and languages
  • Build relationships with U.S. Business and other stakeholders to improve business understanding
  • Communicate and present insights, recommendations, and limitations clearly to technical and business stakeholders
  • Attend professional development, peer learning, and business acumen sessions to build your career skills and MetLife network.

What You Will Need to Succeed (Required Qualifications)
  • Enrolled in a master's program related to data and analytics or a field requiring significant work with data science, data modeling, data engineering, business intelligence, data analysis, artificial intelligence, other data & analytics skills as described by the candidate
  • Graduation date no earlier than December 2026 and no later than June 2027
  • Minimum GPA of 3.0
  • Demonstrated communication skills, including the ability to translate complex technical information for non-technical audiences; write clearly and concisely to a variety of audiences; and communicate early and often to stakeholders regarding deliverables
  • Proactive problem-solving skills and the ability to design, pitch, and implement solutions for diverse teams
  • Ability to work both independently and on a team, actively participate in meetings in-person or with cameras on, and to collaborate across the organization to remove barriers to goals
  • Basic knowledge of SQL with some coding experience in Python, Java, or C++

What Can Give You an Edge (Preferred Qualifications)
  • Demonstrated experience leading a team, committee, or club
  • Business and/or financial services knowledge or experience
  • Experience working across cultures or with teams in various geographic locations
  • Experience using a variety of data tools or languages such as Azure Cloud, PowerBI, Databricks, Erwin, Collibra, GenAI, and/or other tools and languages

Internship Program Information
  • Anticipated start date for this internship is June 29, 2026
  • Internship length will be approximately 8 weeks and is flexible based on academic schedules
  • 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
  • MetLife does not provide housing or a relocation stipend for this role

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is 40.00/Hour.
About MetLife
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.
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 is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
40.00
#BI-Hybrid

Top Skills

Azure Cloud
C++
Collibra
Databricks
Erwin
Genai
Java
Power BI
Python
SQL

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