Raleigh, NC, USA
46 days ago
Data Science Intern - Summer 2025

Who We Are:

Bandwidth delivers world-class messaging, voice, and emergency service connectivity for the world’s biggest brands. We are the APIs and global network behind the platforms that the Global 2000’s use to power their internal communications, contact center platforms, apps, and software. We transform interactions for top-tier orgs—and we do it on a global scale. We’re the only ones who marry the power of our global network with the control and agility offered by our enterprise-grade APIs. Unmatched reliability meets unparalleled control. That’s the Bandwidth way.

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

As a Data Science Intern during Summer 2025, you’ll be at the forefront of empowering Bandwidth to gain valuable insights from our large datasets. You’ll work with leadership, product owners and team members to understand complex business needs, and then design, develop and implement data-driven solutions. You have an eye for detail, but can also think abstractly, analytically and creatively about big challenges. You can create novel solutions that will support several teams like NOC, TAC, Fraud Operations and Bandwidth as a whole by making sense of our data, and taking action.

What You'll Do:

Use analytical tools and statistical techniques to build ways for identifying, analyzing, and troubleshooting anomalies, trends and patterns found in network data Use data analysis techniques and methods to get accurate and actionable insights across multiple datasets Work with development teams to request improvements for statistical techniques and reporting methods Work with teams to optimize data-driven workflows; and provide actionable data solutions, data visualization, and analysis results

What You Need:

Currently pursuing a Bachelor’s degree in math, statistics, computer sciences, or related fields; or Bachelor’s degree in unrelated field plus 2 years work experience in statistical analysis Experience with development on projects heavily involved with large data sets and statistical methods, preferably in Python Familiarity and knowledge with the concepts of machine learning, including data mining and unsupervised learning Strong analytical and critical thinking skills, with high attention to detail, and the ability to collect, organize, analyze, and disseminate significant amounts of information Highly self-motivated, with the ability to work independently and take ownership of issues, and willingness to overcome challenging problems while identifying opportunities for improvement Strong communication skills and the ability to simplify and explain information and findings to leadership, team members, and other internal stakeholders

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

Are you ready for an awesome internship experience? At Bandwidth we’re all about making your time with us fun and fulfilling! Take a break with our 90-minute workout lunch to energize your day, or roll up your sleeves for some cool volunteer activities that give back to our community. You'll also get to meet and connect with our leaders who can share their wisdom and advice. And let’s not forget the fun social activities to bond with your fellow interns!

Join us for a summer full of learning, laughter, and new experiences—let’s make some great memories together!

 

Are you excited about the position and its responsibilities, but not sure if you’re 100% qualified? Do you feel you can work to help us crush the mission? If you answered ‘yes’ to both of these questions, we encourage you to apply! You won’t want to miss the opportunity to be a part of the BAND.

 

  

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