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Cary, NC

Internship

Hybrid

$40/hr - $40/hr

Intern

MetLife is one of the world’s leading financial services companies, and they are seeking a Master's-level Data & Analytics Intern to support U.S. sales and customer experience. The role involves assisting with projects such as building dashboards, creating machine learning models, and modernizing data systems while collaborating with various stakeholders.

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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

Qualification

Required

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++

Preferred

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