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Intern - Data Science

ForeScout Technologies, Inc.
United States, Texas, Dallas
Feb 25, 2026

Department

CoreTech - Data Science

Role

Intern - Data Science

Overview

Forescout is one of the most impactful cybersecurity companies in the world, helping organizations stay safe and protected in an increasingly digital environment. For more than 25 years, we've worked behind the scenes with companies across various industries to support their growth, keep their operations running smoothly, and protect what matters most.

What makes Forescout special isn't just the technology-it's the people. Our teams are innovative, curious, and driven by realworld impact. Whether you're supporting employees, customers, or internal operations, your work here plays a meaningful role in helping businesses succeed. At Forescout, collaboration, teamwork, and determination are embedded into everything we do. They guide how we show up every day, and more importantly, how we succeed together.

At Forescout, we value and embrace diversity, equality, and collaboration. We hope that each ASPIRE Cohort will be a direct reflection of those values.

The ASPIRE Internship Program is designed to give students meaningful career exploration and handson experience aligned to their field of study. Interns build core professional skills-time management, communication, teamwork, problemsolving, and networking-while contributing to real work that matters to the business. ASPIRE is a structured, mentorshiprich program with HRled learning workshops that is concluded by interns presenting their final projects to a Forescout leadership panel.

Program Details and Requirements

  • 10-week paid summer intern program located in Plano, TX from June 1st to August 6th.
  • Interns will earn income during the 10-week program at an hourly rate of $30 USD for a maximum of 30 hours per week.
  • Education Requirement: At minimum, you must have completed your third year of college, university, or an equivalent trade or technical school
  • Academic Requirement: Eligible interns must have a GPA of 3.0 or higher; an official transcript is required for your application.
  • Location Requirement: This internship is in-office / hybrid. You must be currently located within a commutable distance or have the ability to temporarily relocate to Plano, TX at your own expense.
  • Participation Requirement: You must be available for the full duration of the 10-week program.

What We are Looking for

  • Critical Thinking - Ability to quickly learn new concepts and apply them to realworld challenges.
  • ProblemSolving - Eager to analyze complex situations, use logic and data to explore options, and execute thoughtful solutions.
  • Teamwork - Ability to work well with others, communicate openly, and contribute positively toward shared goals.
  • Interpersonal Skills - Willingness to build respectful, effective relationships and collaborate with people with diverse perspectives and backgrounds.
  • Communication (Verbal, Written & Presentation) - Can clearly and confidently explain work processes and outcomes, and can adapt the delivery to different audiences.
  • Technical Aptitude - ability to learn new technologies, tools, and systems quickly, apply technical concepts to real problems, and adapt in a fast paced technical environment.

What You Will Accomplish During This Internship

AI-Driven Data Mapping & Parser Automation for IntegrationHub

  • Design and implement an Azure AI-powered framework to automate exploratory data analysis (EDA) and schema profiling for third-party log sources.
  • Develop an AI-assisted data model mapping engine that intelligently maps raw log fields to Unified Data Model, reducing manual mapping effort and improving onboarding efficiency.
  • Build a semi-automated Loggify parser generation workflow using AI-generated mappings to accelerate parser development and ensure ingestion accuracy.
  • Integrate EDA, field mapping, and parser automation into a unified end-to-end workflow, delivering measurable reductions in data onboarding time.
  • Deliver a reusable, production-ready automation toolkit with documentation, validation processes, and a final demonstration showcasing efficiency improvements and scalability.

Required Skills & Qualifications

  • Pursuing a degree related to Computer Science / Engineering, Software Engineering, and/or Data Science
  • Experience with Python programming and experience with general programming techniques, tools and processes
  • Fundamental understanding of Azure AI, data analytics, JSON and log formats
  • Strong analytical and communication skills - the ability to reason through problems, develop solutions, and clearly explain analytical processes and findings to leadership and stakeholders
  • Eagerness to learn and initiative to seek feedback - A proactive attitude towards learning new tools and processes and collaboration with the team to find smarter, faster ways to work.
  • Experience with or knowledge of using AI for workflows is beneficial
  • Basic understanding of conducting a data analysis on a large data set is beneficial

EEO Statement

Forescout Technologies is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, national origin, ancestry, gender, gender identity or expression, age, marital or domestic partner status, citizenship status, sexual orientation, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws, regulations, or ordinances.

Forescout Technologies is proud to be an Equal Employment Opportunity Employer. We value and embrace diversity, equality, inclusion, and collaboration at the core of our "One Team" philosophy. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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