Verizon Consumer Group: Data Science Summer 2027 Internship

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. Launch your career where innovation meets immediate impact. As an intern at Verizon, you won't just join a specific business unit - you’ll gain broad exposure across our entire AI-first ecosystem. We value cross-disciplinary thinkers and offer rising seniors a true launchpad. High-performing interns may have the opportunity to be considered for our elite developmental rotational program, unlocking cross-organizational mobility and rapid skill development. We’re seeking future-focused builders who combine technical AI fluency with an innate drive to grow. Ideal candidates are agile problem solvers who think in systems, leverage data, and streamline complex processes. Crucially, we’re looking for leaders with the capacity to break down silos, influence cross-functional teams, build lasting trust, and navigate AI ethics with a customer-first lens—all while collaborating with mentors across business units to help shape the future of tech. What you’ll be doing. .. You and your team will be working on a real project in real time: it’ll be impactful and timely work that the business depends on. In recent summers, interns in Data Science have: Partnered with Sales, Service, and CX business partners to deeply understand operational workflows and deliver high-impact data solutions. Developed conversational UIs and integrated emerging AI capabilities, agents, and LLMs (such as Claude) into core business processes. * Built and enhanced scalable data assets, dashboards, semantic layers, and gold layers to provide fast, reliable insights. In this hybrid internship, based out of Basking Ridge, NJ, you’ll have a defined work location that includes work from home and assigned office days set by your manager. If relocation is required, relocation assistance may be available. You’ll also join us for the Intern Marquee event in Basking Ridge, NJ, a unique, in-person experience designed exclusively for all US interns. This multi-day event is your chance to build your connections through structured networking and be inspired by top executives in a professional environment . Who we’re looking for... Driven to perform at your personal best, you thrive in fast-paced environments where dynamic challenges require speed, adaptability, and an entrepreneurial mindset. You look beyond basic execution and use systems thinking, data-driven reasoning, and technical acumen to streamline complex processes and solve tough problems. Passionate about continuous learning, you take smart, calculated risks and lead with ethical judgment. You bring a collaborative, "One Team" spirit that breaks down silos and influences stakeholders across the business to deliver customer-centric impact. All successful applicants to this role will: Be currently enrolled in a Bachelor’s degree program with a graduation date between December 2027 - June 2028, and be in good academic standing. Have the ability to participate in a full-time, hybrid, 10-week (temporary) internship between June 2027 to August 2027. Have authorization to work in the U.S. without restrictions or need for future sponsorship. Be willing and able to travel. Be willing and able to relocate. Demonstrate agile, clear, and persuasive written and verbal communication. Bring experiences in advanced predictive analytics & data architecture, potentially demonstrated by work in transitioning systems from historical reporting to predictive, algorithmic forecasting, behavioral data modeling, or data structuring. Even better if you have one or more of the following: Current enrollment in a Bachelor's degree program in one of the following majors: Artificial Intelligence (AI), Business Intelligence, Computer Engineering, Data Analytics, Data Science, Information Technology, Software Engineering, or a related major. Hands-on experience or familiarity with Large Language Models (LLMs), agentic AI frameworks, or tools like Claude. * Experience designing or building semantic data models, gold layer architectures, or interactive BI dashboards (e.g., Tableau, Power BI). Demonstrated experience driving cross-functional projects, applying systems thinking, data-backed reasoning, and process simplification to solve complex problems and streamline workflows across matrixed teams. A track record of rapid skill acquisition and entrepreneurial initiative, with proven ability to leverage technical/data literacy (including AI tools) to adapt to shifting priorities and deliver customer-centric outcomes. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. Interested in multiple roles? Please submit a separate application for each position you'd like to be considered for. The base pay rate for this position is $27.00/hour. Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. In addition to building your skills and experiences, you will be eligible to participate in our robust 401(k) Savings Plan which provides a dollar-for-dollar company match on the first 6% of your contributions as a percentage of your eligible pay. You will also be eligible for holiday pay, as applicable.