Who We Are

ServiceNow believes in the power of technology to create better ways to get work done, to make the world of work, work better for people.

We are excited and humbled to be named a “Great Place to Work,” a top U.S. employer by LinkedIn, and one of the best midsize employers by Forbes. We’re looking for people who are ready to roll up their sleeves and are passionate about creating products—and a company—that will change the way the world works.

• “Work within a scrum team, develop code within a corporate setting, use Git to manage source code, how to read through proprietary documentation to learn about our proprietary APIs and code base, work with the company politics to share my views on the design, implementation, and management of the ServiceNow platform”
• “The positive vibes in my team, and the very detailed code reviews given by my mentor and colleagues, which helped me learned a lot”
• “Challenging projects that taught them skills in software development and have a concrete impact on the company”
• “I was really glad to have important work directed my way rather than a bunch of busywork and leftover tasks”
• “Face-to-face exposure to senior execs and having candid conversations to learn about the company, helpful team, autonomy to learn and drive my own projects”
• “I've formed relationship during the summer that I know I will maintain throughout life. Putting yourself out there and letting your ambition shine results in the most rewarding experiences”

Our internship opportunities awaiting YOU:

• You have experience in pre-processing data in preparation for Machine Learning analyses.
• You have skills in more than one of the following methods: regression, decision trees / random forests, Bayesian methods, neural networks, support vector machines, k-nearest neighbor, HMM, recommendation engines, impact/driver analyses, or optimizations.
• You know how to compare predictive models for accuracy.
• You have experience using R or Python for Machine Learning.
• Special consideration for applicants with experience using HANA or SQL queries to extract data and/or create views, tables, and procedures.
• Applicants should be enrolled at a college/university or graduate school

Who YOU are:

• Actively enrolled in an accredited university as a full-time student, pursuing either a Bachelor’s, Master’s, or PhD degree, and returning for at least a final term following the summer internship
• Preferred: Majoring in Data Science, Mathematics, Computer Science or a related major
• Able to commit to a 12-week internship in summer 2021 (May-August, or, June-September)
• Prior Data Internship experience is preferred, but not necessary