Our five-week long technical learning accelerator consists of a mix of classroom, independent, and hands-on learning that is designed to fine-tune your skills and introduce you to Travelers technology. The accelerator focuses on providing you valuable training on multiple tools and technologies, but from a Travelers perspective. You will also learn about our software development lifecycle, enterprise engineering environments, artificial intelligence-enhanced practices, and working with Agile methodologies.
As an EDP participant, you will model the way for others and set a personal example of what is expected. You will positively challenge processes, embrace change, actively listen to and support diverse points of view, and celebrate the success of others. Travelers offers a hybrid work location model designed to support flexibility.
You are a self-starter who goes beyond required job or educational commitments to explore new technologies, applications, and environments. You take strong ownership of your actions, performance, and outcomes, proactively managing your time while juggling multiple projects simultaneously. You collaborate effectively and maintain a positive attitude whether working independently or as part of a team. You also demonstrate strong analytical aptitude—identifying current or future problems and opportunities, synthesizing and comparing data, recognizing cause-and-effect relationships, and exploring alternative solutions to support sound decision-making. What Will You Do?
Travelers' Data Engineering team designs, builds, and tests a variety of complex data assets and applications that support our data science and business analytics communities, as well as providing key data inputs to our transactional systems. We use a dynamic and evolving set of technologies while adhering to Data Engineering best practices.
EDP Participants in this track will partner closely with the business to refine features, plan user stories, and execute on the analysis, design, development, and testing of those user stories to deliver business capabilities to market. You will leverage modern analytical and artificial intelligence (AI) tools/platforms, applying critical thinking to evaluate the limitations, quality, and accuracy of AI-assisted outputs.
Additional program components include mentoring, networking, and career guidance.
Please note that occasional travel for business meetings and events is an expectation of program participants.
Perform other duties as assigned.
What Will Our Ideal Candidate Have?
Cumulative GPA of 3.0 or greater preferred.
Suggested majors include (but not limited to): Computer Science, Software Engineering, Computer Engineering or a related discipline.
Exposure to object-oriented programming (OOP) in one or more major languages.
