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Intern - Revenue Retention & Data Science

Zayo Group
401(k)
United States, Colorado, Denver
Mar 17, 2026

Company Description

Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

External Field

Zayo is seeking a Revenue Retention & Data Science Intern to drive revenue retention initiatives through a balanced combination of business process optimization and applied data science. This role will identify process gaps impacting customer retention and develop machine learning-based analytical prototypes to improve decision-making.

Our Revenue Retention & Data Science Intern will work cross-functionally with commercial and operational stakeholders to translate data insights into measurable retention strategies. Deliverables will include validated analytical models and actionable business recommendations.

Responsibilities:

  • Analyze customer and revenue data to identify drivers of churn and retention risk.

  • Evaluate and enhance the existing churn prediction model by improving feature engineering, model performance, and business interpretability.

  • Map and assess commercial workflows to uncover process gaps impacting revenue retention.

  • Quantify the financial impact of identified inefficiencies and retention opportunities.

  • Develop and validate machine learning prototypes (e.g., churn refinement, segmentation, forecasting) to support retention strategy.

  • Leverage existing generative AI tools to automate, streamline, or integrate retention-related workflows (e.g., insight summarization, account prioritization, stakeholder reporting).

Qualifications:

  • Applicants must have completed their sophomore year and be enrolled in a degree or certificate seeking program for the fall semester of 2026.

  • Strong foundation in supervised and unsupervised learning techniques.

  • Experience building and validating models in Python (e.g., scikit-learn, XGBoost, similar frameworks).

  • Solid understanding of statistics, model evaluation metrics, and feature engineering.

  • Proficiency in SQL and structured data analysis.

  • Ability to translate technical findings into business strategy recommendations.

  • Strong analytical thinking and communication skills.

Estimated Base Pay Range: $23.00 - $25.00 USD/hour.

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs.

Additionally, this position may be eligible for certain benefits, such as health insurance and 401(k).

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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