Job Description

About Lumen

Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.

We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

The Role

If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.

Program dates: May 30 – August 8, 2025.

Location

This position is fully remote/ work from home

Work Authorization

US work authorization required for role. Individuals requiring current or future sponsorship for employment are welcome to apply

The Main Responsibilities

Lumen’s Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications.

Other responsibilities of intern will include: 

• Supporting digital channel for mass markets customers 
• Research AI solutions to reduce cost and improve customer experience 
• Manage data pipelines

What We Look For in a Candidate

Program eligibility is contingent on the candidate’s commitment of the entire 10-week program. No exceptions will be made. 

Required qualifications 

• Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship 
• Graduating August 2025 – May 2027 
• Preferred fields include burt not limited to: – Computer Science, Business Analytics, Data Science, Information Systems.
• Intern must be able to work 40 hours per week during the 10-week program (May 30 – August 8, 2025) 
• Proficiency and understanding of: 
• MS Office Suite – Excel and PowerPoint 
• Python expertise 
• Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models 
• Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc…) 
• Cloud platforms like GCP 
• React.Js 
• Node.Js 

Preferred qualifications 

• Analytical Skills: Ability to analyze and interpret data to provide actionable insights
• Experience with statistical analysis and data visualization tools is a plus.
• Attention to detail and a proactive approach to learning and development.
• Ability to translate technical information into non-technical terms 
• Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements 
• Eagerness to learn and adapt to new technologies and methodologies.
• Strong organization skills 
• Ability to multitask while working in fast paced environment

Compensation

Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.

Hourly Based Pay Range: 
Min: $26.00/hour 
Max: $43.00/hour 

What to Expect Next

After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application.

Application & Interview Timeline:

• October – First Round Interviews with top, qualified candidates
• November - Interview panel with work team
• December - All Summer 2025 offers will be extended by end of month

Requisition #: 335207

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

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