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.

What you’ll be doing...

You will be working to test, build and refine AI-driven solutions that will help boht our customers and our internal teams. You will learn and apply various data analysis and machine learning techniques to support the development of innovative products and services.

• Assisting in the testing and development of AI models and tools to support business decisions and product development

• Exploring and keeping up to date with AI research and techniques and applying open-source and commercial tools to improve existing products.

• Collaborating with cross-functional teams (engineers, analysts) to understand data and contribute to AI projects.

• Learning to build and maintain data pipelines for data processing and visualization.

• Supporting the development and testing of Machine Learning/Deep Learning models.

• Working with data storage and processing systems under the guidance of senior team members.

• Contributing to team learning and knowledge sharing.

What we’re looking for...

You have a strong interest in data science and AI and are eager to learn and grow in a collaborative environment. You are curious about ML and AI and enjoy problem-solving. You are proactive and willing to take on new challenges.

You'll need to have:

• Master’s degree or equivalent coursework in Computer Science, Data Science, or a related field.

• Good understanding of programming concepts and experience with at least one programming language (e.g., Python).

• Familiarity with data manipulation libraries (e.g., NumPy, Pandas) and basic data visualization tools (e.g., Matplotlib).

• Good knowledge of Machine Learning concepts (supervised, unsupervised learning).

• Familiarity with development tools (git) and processes

• Eagerness to learn and work with different data systems and tools.

Even better if you have one or more of the following:

• Experience with SQL or other database querying languages.

• Exposure to Machine Learning libraries (e.g., scikit-learn, PyTorch).

• Good communication and teamwork skills.

Why Verizon?

Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.

• We are a ‘pay for performance’ company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.

• Your benefits are market competitive and delivered by some of the best providers.

• You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.

• We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*.

• Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.

• You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.

Your benefits package will vary depending on the country in which you work.

*subject to business approval

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.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.