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Data Science/Machine Learning/Artificial Intelligence- Summer 2024 Intern

Job Summary

At Iron Mountain, we rely on hiring top early career talent who are diverse, innovative, energetic, and inspiring. We offer a 12 week internship program tailored to you to ensure you are set up for success as you begin the early part of your career. Our internship program is designed to empower you to reach your full potential through meaningful and impactful work. We continuously recognize and value the need for early career talent and are committed to ensuring we equip our interns with an exciting, unique, and invaluable experience while they are with us.

During the internship, you will be able to complete critical real world work along with multiple internal Iron Mountain teams while contributing to our digital growth aspirations. You will also experience:

Structure Development over a 12 week program including (starting on 05/20/2024):

  • Professional Skills
  • Business Acumen
  • Executive Speaker Series
  • Consistent Feedback and Evaluation
  • Networking with other interns and adept professionals
  • Consideration for full time employment
  • Diverse, inclusive, and innovative environment & culture
  • Stability and growth

Job Responsibilities

InSight is an AI enablement platform that applies industry-leading ML, including custom models, to classify and extract entities from unstructured content (Document Images, Audio and Video files, other data files and sources). We currently have an opportunity for you to work as an Intern with our Data Science team on AI enablement for Iron Mountain Products, which falls under the Global Product and Engineering Organization.

As an AI/ML Data Science Intern at Iron Mountain you will:

  • Contribute to the analytics techniques on a very large set of diverse data from connected assets, anomaly detection, business analytics, data visualization.
  • Contribute to teams by solving problems of medium to high complexity in analytics approach, related digital technology, or business domain
  • Help create solutions for product roadmap and customer-driven requirements.
  • Participate in design discussions to develop ML models performing classification and entity extraction from various forms of digital content (Images, Audio/video, and other digital file formats).
  • Participate in the build and deployment of models into Iron Mountain platforms.
  • Work with project managers, solution architects, ML engineers, and data scientists to deliver ML-based solutions.
  • Assist in designing and executing predictive modeling projects using statistical methods and machine learning techniques.
  • Work with Product Management and on reviewing existing features and future roadmap items.
  • Identify, resolve, and escalate any issues impeding project success.
  • Design and deployment of ML models using Python to perform classification and entity extraction of various forms of digital content (Images, Audio/video, and other digital file formats).
  • Apply effective visualization tools to make descriptive analysis and results intuitive and informative to the team and customers.
  • Participate in research and development to build Iron Mountain ML portfolio with state-of-the-art technology.

Functional Knowledge, Skills, and Competencies:

Educational Qualifications

  • Currently pursuing a Bachelor’s degree with an expectation that the degree will be obtained by July 2025 or earlier
  • Must be returning to the course of study following completion of the internship
  • Pursuing a degree in Computer Science, Computer Engineering or a related field


  • Participation in the internship program requires that you are located in the continental United States for the duration of the program
  • You will be evaluated for a full time position with their team
  • Must be authorized to work in the United States without restriction
  • This is a 40 hour per week assignment, lasting between 10-12 weeks with the expected start date being May 20, 2024

Technical Skill Qualifications (Preferred)

  • Basic understanding of Machine Learning and AI techniques.
  • Hands-on programming experience (such as Python, Java, C++, C#, SQL, etc)
  • Strong analytical and problem solving skills
  • Familiarity with agile development

Professional Skill Qualifications (Preferred)

  • Excellent communication and teamwork skills
  • Great attention to detail
  • Demonstrated leadership experience
  • Ability to demonstrate strong communication skills, initiative, and intellectual curiosity
  • Ability to work independently and as a collaborative team member
  • Ability to learn and comply with company policies and procedures
  • Strong analytical and problem solving skills
  • Familiarity with agile development