Verizon Network and Technology: Data Science Summer 2027 Internship
Verizon · Irving, TX · 3 wk ago
EducationFull-time
We need to output HTML fragment with sections: About the role? The posting includes description. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. Must not include placeholder like "commensurate with experience". Must preserve all substantive info. Remove boilerplate: EEO, equal opportunity, scam warning, navigation, cookie, application instructions. Also remove duplicated lines.
We need to parse the posting.
Let's extract content:
Intro: "When you join Verizon You want more out of a career..." This is about Verizon culture. Could be "About the role" or maybe "About Verizon". The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have About the role heading.
We need to decide what goes under each.
Responsibilities: The "What You’ll Be Doing..." section.
Requirements: The "Who We’re Looking For..." bullet list? Actually that includes traits.
Qualifications: The "All Successful Applicants To This Role Will Be ..." list.
Skills: maybe the "Even better if you have one or more of the following:" list.
Benefits: The paragraph about 401(k) Savings Plan, holiday pay.
Pay: Not mentioned explicitly. No pay info. So we should NOT include Pay section.
Schedule: There is "Scheduled Weekly Hours 40" and hybrid work location details. Also "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". Also "If relocation is required, relocation assistance may be available." Also "Intern Marquee event". So schedule info: hybrid, 40 hours per week, minimum 3 days office. So we can include Schedule section.
We must not include duplicated lines. Also remove "Equal Employment Opportunity Verizon is an equal opportunity employer..." etc.
Also remove "Interested in multiple roles? Please submit a separate application..." (application instructions). Also remove "Where you’ll be working" maybe part of schedule.
Let's craft sections.
About the role: include introductory paragraph about Verizon culture and internship overview: "When you join Verizon...". Also mention "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...". Also mention high-performing interns may be considered for elite developmental rotational program. Also mention seeking future-focused builders etc. This is more about role overview.
Responsibilities: "What You’ll Be Doing..." paragraph: As a Data Scientist Intern within Fiber Engineering & Operations, you’ll work at the intersection of predictive machine learning, generative AI, and large-scale network infrastructure. Rather than shadowing or building static dashboards, you’ll own end-to-end predictive modeling projects and stress-test agentic AI tools that directly optimize field operations across our combined Verizon Telecom (VZT) and Verizon Fiber (VZF) footprints. In this hybrid internship, based out of Irving, TX, 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.
But note some of that overlaps with schedule/location. Might split: responsibilities focus on tasks; location details maybe schedule. However we can keep location in responsibilities or schedule. To avoid duplication, we could put location details under Schedule. But responsibilities includes "based out of Irving, TX" and "defined work location includes work from home and assigned office days set by your manager". That's schedule/location. Might be okay to keep in responsibilities but then schedule section would be redundant. Better to put location/hours under Schedule, and responsibilities focus on tasks: own end-to-end predictive modeling projects, stress-test agentic AI tools, optimize field operations, Intern Marquee event.
Thus responsibilities: own end-to-end predictive modeling projects, stress-test agentic AI tools that directly optimize field operations across VZT and VZF footprints, Intern Marquee event in Basking Ridge, NJ (multi-day event for networking, inspiration). Also maybe mention working at intersection of predictive ML, generative AI, large-scale network infrastructure.
We'll keep that.
Requirements: maybe the traits: "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."
That's more like qualifications/skills. But we have separate sections for Qualifications and Skills. We can treat Requirements as the baseline eligibility: currently enrolled in Bachelor's degree program with graduation date Dec 2027 - Jun 2028, good academic standing, ability to participate in full-time hybrid 10-week internship Jun-Aug 2027, authorization to work in US without restrictions, willing and able to travel, willing and able to relocate, demonstrate agile clear persuasive written and verbal communication, bring experiences in advanced predictive analytics & data architecture (transitioning systems from historical reporting to predictive, algorithmic forecasting, behavioral data modeling, or data structuring), demonstrated familiarity with generative AI frameworks & tools (LangChain, AutoGPT, Google Gemini, NotebookLM). That seems like requirements.
Qualifications: maybe the "Even better if you have one or more of the following:" list: current enrollment in Bachelor's degree program in Data Science, Computer Science, Statistics, Operations Research, or related major; Complex Problem Solving & Critical Thinking; 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.
Skills: maybe the specific technical skills: advanced predictive analytics & data architecture, generative AI frameworks/tools, etc. But we already covered some. Could separate: Skills: advanced predictive analytics & data architecture, generative AI frameworks/tools (LangChain, AutoGPT, Google Gemini, NotebookLM), systems thinking, data-driven reasoning, technical acumen, communication, collaboration, etc. However we risk duplication.
Given instruction: prefer a few substantive sections over many thin ones. We could combine Requirements and Qualifications into one? But headings are prescribed; we can still include both if they have content.
We need to avoid filler like "commensurate with experience". Not present.
Benefits: 401(k) Savings Plan with dollar-for-dollar company match on first 6% of contributions, holiday pay as applicable.
Pay: none -> omit.
Schedule: hybrid, 40 hours per week, minimum 3 days office, defined work location includes work from home and assigned office days set by manager, relocation assistance may be available, Intern Marquee event in Basking Ridge, NJ (maybe already in responsibilities). But we can keep schedule: hybrid role, 40 hours weekly, minimum 3 days office, work location Irving, TX, relocation assistance possible.
We must not repeat Intern Marquee event if already in responsibilities; but we can keep it only once. Let's put Intern Marquee event under Responsibilities (as part of experience). Then schedule just about hours/location.
Now produce HTML.
We need to wrap each section:
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have About the role heading.
We need to decide what goes under each.
Responsibilities: The "What You’ll Be Doing..." section.
Requirements: The "Who We’re Looking For..." bullet list? Actually that includes traits.
Qualifications: The "All Successful Applicants To This Role Will Be ..." list.
Skills: maybe the "Even better if you have one or more of the following:" list.
Benefits: The paragraph about 401(k) Savings Plan, holiday pay.
Pay: Not mentioned explicitly. No pay info. So we should NOT include Pay section.
Schedule: There is "Scheduled Weekly Hours 40" and hybrid work location details. Also "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". Also "If relocation is required, relocation assistance may be available." Also "Intern Marquee event". So schedule info: hybrid, 40 hours per week, minimum 3 days office. So we can include Schedule section.
We must not include duplicated lines. Also remove "Equal Employment Opportunity Verizon is an equal opportunity employer..." etc.
Also remove "Interested in multiple roles? Please submit a separate application..." (application instructions). Also remove "Where you’ll be working" maybe part of schedule.
Let's craft sections.
About the role: include introductory paragraph about Verizon culture and internship overview: "When you join Verizon...". Also mention "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...". Also mention high-performing interns may be considered for elite developmental rotational program. Also mention seeking future-focused builders etc. This is more about role overview.
Responsibilities: "What You’ll Be Doing..." paragraph: As a Data Scientist Intern within Fiber Engineering & Operations, you’ll work at the intersection of predictive machine learning, generative AI, and large-scale network infrastructure. Rather than shadowing or building static dashboards, you’ll own end-to-end predictive modeling projects and stress-test agentic AI tools that directly optimize field operations across our combined Verizon Telecom (VZT) and Verizon Fiber (VZF) footprints. In this hybrid internship, based out of Irving, TX, 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.
But note some of that overlaps with schedule/location. Might split: responsibilities focus on tasks; location details maybe schedule. However we can keep location in responsibilities or schedule. To avoid duplication, we could put location details under Schedule. But responsibilities includes "based out of Irving, TX" and "defined work location includes work from home and assigned office days set by your manager". That's schedule/location. Might be okay to keep in responsibilities but then schedule section would be redundant. Better to put location/hours under Schedule, and responsibilities focus on tasks: own end-to-end predictive modeling projects, stress-test agentic AI tools, optimize field operations, Intern Marquee event.
Thus responsibilities: own end-to-end predictive modeling projects, stress-test agentic AI tools that directly optimize field operations across VZT and VZF footprints, Intern Marquee event in Basking Ridge, NJ (multi-day event for networking, inspiration). Also maybe mention working at intersection of predictive ML, generative AI, large-scale network infrastructure.
We'll keep that.
Requirements: maybe the traits: "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."
That's more like qualifications/skills. But we have separate sections for Qualifications and Skills. We can treat Requirements as the baseline eligibility: currently enrolled in Bachelor's degree program with graduation date Dec 2027 - Jun 2028, good academic standing, ability to participate in full-time hybrid 10-week internship Jun-Aug 2027, authorization to work in US without restrictions, willing and able to travel, willing and able to relocate, demonstrate agile clear persuasive written and verbal communication, bring experiences in advanced predictive analytics & data architecture (transitioning systems from historical reporting to predictive, algorithmic forecasting, behavioral data modeling, or data structuring), demonstrated familiarity with generative AI frameworks & tools (LangChain, AutoGPT, Google Gemini, NotebookLM). That seems like requirements.
Qualifications: maybe the "Even better if you have one or more of the following:" list: current enrollment in Bachelor's degree program in Data Science, Computer Science, Statistics, Operations Research, or related major; Complex Problem Solving & Critical Thinking; 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.
Skills: maybe the specific technical skills: advanced predictive analytics & data architecture, generative AI frameworks/tools, etc. But we already covered some. Could separate: Skills: advanced predictive analytics & data architecture, generative AI frameworks/tools (LangChain, AutoGPT, Google Gemini, NotebookLM), systems thinking, data-driven reasoning, technical acumen, communication, collaboration, etc. However we risk duplication.
Given instruction: prefer a few substantive sections over many thin ones. We could combine Requirements and Qualifications into one? But headings are prescribed; we can still include both if they have content.
We need to avoid filler like "commensurate with experience". Not present.
Benefits: 401(k) Savings Plan with dollar-for-dollar company match on first 6% of contributions, holiday pay as applicable.
Pay: none -> omit.
Schedule: hybrid, 40 hours per week, minimum 3 days office, defined work location includes work from home and assigned office days set by manager, relocation assistance may be available, Intern Marquee event in Basking Ridge, NJ (maybe already in responsibilities). But we can keep schedule: hybrid role, 40 hours weekly, minimum 3 days office, work location Irving, TX, relocation assistance possible.
We must not repeat Intern Marquee event if already in responsibilities; but we can keep it only once. Let's put Intern Marquee event under Responsibilities (as part of experience). Then schedule just about hours/location.
Now produce HTML.
We need to wrap each section: About the role
then
...
. For lists:- ...
Responsibilities
- Own end‑to‑end predictive modeling projects that intersect predictive machine learning, generative AI, and large‑scale network infrastructure.
- Stress‑test agentic AI tools to directly optimize field operations across Verizon Telecom (VZT) and Verizon Fiber (VZF) footprints.
- Participate in the Intern Marquee event in Basking Ridge, NJ—a multi‑day, in‑person experience for networking and executive inspiration.
Requirements
- Currently enrolled in a Bachelor’s degree program with a graduation date between December 2027 and June 2028, and in good academic standing.
- Ability to participate in a full‑time, hybrid, 10‑week (temporary) internship between June 2027 and August 2027.
- Authorization to work in the U.S. without restrictions or need for future sponsorship.
- Willing and able to travel.
- Willing and able to relocate (relocation assistance may be available).
- Demonstrate agile, clear, and persuasive written and verbal communication.
- Bring experience in advanced predictive analytics & data architecture, such as transitioning systems from historical reporting to predictive, algorithmic forecasting, behavioral data modeling, or data structuring.
- Demonstrated familiarity with generative AI frameworks and tools (LangChain, AutoGPT, Google Gemini, NotebookLM).
Qualifications
- Current enrollment in a Bachelor's degree program in Data Science, Computer Science, Statistics, Operations Research, or a related major.
- Strong complex problem‑solving and critical‑thinking abilities.
- 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.
Skills
- Advanced predictive analytics and data architecture.
- Generative AI frameworks and tools (LangChain, AutoGPT, Google Gemini, NotebookLM).
- Systems thinking and data‑driven reasoning.
- Technical acumen and entrepreneurial mindset.
- Collaborative “One Team” spirit that breaks down silos and influences stakeholders.