Early Careers: Data Internship - Summer 2026

WTW•London, IL

1d•Hybrid

About The Position

As a data compensation intern, you will analyze data from multiple sources to surface patterns, anomalies, and opportunity areas and translate those findings into clear recommendations. You will contribute to the design or refinement of dashboards, metrics frameworks, or reporting tools that teams actually use. You will participate in discovery conversations and working sessions with business unit stakeholders, preparing materials, capturing insights, and helping synthesize what you hear. You will also conduct structured research on industry practices, competitor data strategies, and market benchmarks relevant to our business unit partners. This internship offers exposure to how enterprise data functions are designed, operated, and managed, hands-on experience with AI tools and agentic systems in active enterprise use, and a professional network inside a global advisory and solutions company. You will receive mentorship from an array of leaders with deep expertise in data strategy, architecture, and governance.

Requirements

Enrolled in a bachelor’s degree program with a target graduation date of May 2027
Eligible candidates must be going into their senior year in Fall 2026
Minimum GPA of 3.0 and above
Currently pursuing an undergraduate degree in Data Science, Business Analytics, Information Systems, Computer Science, Business, Economics, or a related field
Comfortable working with data
Proficient in Excel or Google Sheets
Familiarity with SQL, Python, or a BI tool (Power BI, Tableau) is a plus
Strong written communication skills
Curiosity about AI and its application in enterprise contexts
Organized, self-directed, and comfortable navigating ambiguity in a remote environment
Ability to work independently while communicating proactively
Prior internship or project experience involving data analysis or business intelligence work
Exposure to large language models, AI tools, or agentic AI concepts
Experience presenting findings or recommendations to an audience (class presentations count)
Familiarity with the insurance, financial services, or professional services industry
Able to work legally in the United States indefinitely and without Visa sponsorship

Nice To Haves

Familiarity with SQL, Python, or a BI tool (Power BI, Tableau)
Exposure to large language models, AI tools, or agentic AI concepts
Experience presenting findings or recommendations to an audience (class presentations count)
Familiarity with the insurance, financial services, or professional services industry

Responsibilities

Analyze data from multiple sources to surface patterns, anomalies, and opportunity areas and translate those findings into clear recommendations.
Contribute to the design or refinement of dashboards, metrics frameworks, or reporting tools that teams actually use.
Participate in discovery conversations and working sessions with business unit stakeholders preparing materials, capturing insights, and helping synthesize what you hear.
Conduct structured research on industry practices, competitor data strategies, and market benchmarks relevant to our business unit partners.