ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
WTW
This eight-week internship offers real-world consulting experience within the Work, Rewards & Careers business, allowing participants to apply their education to live projects and develop technical skills. The role involves collaborating with expert consultants, analyzing data, and supporting clients on initiatives such as pay equity, compensation strategy, and performance management. Interns will gain exposure to data analytics, AI applications, and strategic insights to help organizations optimize their total rewards programs.
Headquarters
London, England, United Kingdom
Company Size
10001+ employees
Founded
1828
WTW (Willis Towers Watson) is a global advisory, broking and solutions firm that delivers data-driven, insight-led services across people, risk and capital. It provides HR and benefits consulting, insurance and reinsurance broking, risk management, investment and retirement solutions, and workforce analytics and technology. Employers, insurers, asset managers and governments use WTW’s analytics, actuarial expertise and digital tools to design benefits, manage risk and optimize capital. The firm emphasizes data and technology to guide strategic decisions and operational programs worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for WTW.
WTW didn’t post a salary, so this is our estimate from similar listings.