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Data, Analytics & Decision Science - Summer 2027 Internship Pathway

Lumen Technologies, Inc.
Remote, United States Posted Oct 16, 2026
Remote

About this role

Data, Analytics & Decision Science - Summer 2027 Internship Pathway

Remote, United States

Job description

Company and benefits

Job ID

344125

Date posted

10/16/2026

Application Deadline

11/07/2026

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.

Build What’s Next at Lumen

Lumen’s paid, 10-week summer internship program gives you meaningful work, mentorship, professional development, and connections with peers and leaders.

To help you find the best fit, explore the pathway roles:

AI & Automation Builders AI Product & Business Innovation

Cybersecurity, Risk & Digital Trust Data, Analytics & Decision Science Enterprise Knowledge & Intelligence Systems

Each pathway connects you with multiple roles that share related skills and interests, so you can discover more ways to build what’s next at Lumen.

One Application, Multiple Opportunities

Apply once to be considered for multiple internships that use data, analytics, and informed decision-making to solve business challenges. As you move through the process, you’ll meet hiring teams and explore assignments aligned with your interests and strengths.

Your Impact

Data becomes valuable when it leads to better decisions and action. In the roles you may be considered for, you’ll turn complex information into insights that help teams understand performance, identify opportunities, and solve business challenges.

Assignments may span analytics, reporting, forecasting, business intelligence, strategy, operations, finance, marketing, or workforce planning—giving you a chance to build dashboards, uncover trends, and translate findings into clear recommendations.

What You May Work On

  • Analyze customer, operational, financial, or workforce data to identify trends, risks, and opportunities
  • Develop dashboards, reports, and visualizations that help leaders make informed business decisions
  • Support forecasting, strategic planning, and performance measurement initiatives
  • Partner with stakeholders to translate data into actionable recommendations and business insights
  • Explore opportunities to improve efficiency and decision-making through analytics, automation, and AI-enabled solutions

What You’ll Bring

We're seeking students who are energized by solving problems, asking questions, and continuously learning.

Successful candidates often demonstrate:

  • Strong analytical and critical-thinking skills
  • Curiosity and intellectual curiosity
  • Problem-solving ability and sound judgment
  • Effective communication and collaboration skills
  • Comfort navigating ambiguity and complex challenges
  • Interest in data, analytics, technology, AI, or business strategy
  • Initiative, adaptability, and a growth mindset

Prior experience with analytics, statistics, visualization tools, programming languages, research methods, or business analysis may be helpful, but is not required.

Education & Eligibility

You must be enrolled at an accredited college or university at the time of the internship. We primarily seek rising seniors graduating between August 2027 and June 2028; students graduating in 2029 may also be considered.

Students from a variety of academic backgrounds may be a strong fit, including:

  • Data Science, Analytics, Statistics, or Mathematics
  • Finance, Accounting, Economics, or Business Administration
  • Computer Science, Information Systems, or Engineering

Students from other disciplines with demonstrated analytical abilities and an interest in data-driven problem solving are also encouraged to apply.

Compensation

Intern pay ranges: $26–$46 per hour.

Compensation is based on your academic level, role classification (technical vs. non-technical), experience, and geographic location.

Learn more about Lumen's:

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