Data Scientist Intern, NA

Vantage Data CentersDenver, CO
1d$20 - $25Onsite

About The Position

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands. Strategy and Transformation The Strategy and Transformation department is a dynamic and integral component of our business strategy, dedicated to enhancing our market position, business intelligence, and insights through data analysis. Position Overview This role will be based at our Denver, CO location. Vantage Data Centers is looking for a motivated Data Scientist Intern to join our team, gaining hands-on experience across various facets of data analysis, statistical modeling, machine learning, and data-driven decision support. This role provides hands-on exposure to real-world data science applications, including data analysis, basic predictive modeling, and visualization. The intern will collaborate with experienced data scientists and cross-functional partners to learn how data is used to support strategic, financial, and operational initiatives. This internship is ideal for students seeking to build a strong foundation in applied data science within a collaborative, business-focused environment.

Requirements

  • Education & Experience Currently enrolled in a 4-year university pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
  • Minimum GPA requirement – 3.0.
  • Experience working with data through coursework, class projects, or personal projects is expected.
  • Technical & Professional Skills Strong analytical and problem-solving mindset with a focus on data-driven decision-making.
  • Positive, proactive attitude with a willingness to learn and take initiative.
  • Ability to work independently on analytical tasks while collaborating effectively within a team.
  • Familiarity with data science tools and programming languages such as Python or R; exposure to SQL is a plus.
  • Strong organizational skills with attention to detail and the ability to manage multiple tasks and deadlines.
  • Effective communication skills, with the ability to explain complex analytical concepts clearly to diverse audiences.

Nice To Haves

  • Previous internship experience preferred but not required.
  • Experience with common data analysis libraries (e.g., pandas, NumPy, scikit-learn, statsmodels) preferred.

Responsibilities

  • Analytics & Modeling Support: Assist with data analysis and exploratory data analysis to identify trends, patterns, and insights in business datasets. Support the development and testing of basic predictive and statistical models under the guidance of senior team members. Help translate analytical findings into clear summaries and visualizations for internal stakeholders. Learn how analytics are applied to support planning, forecasting, and operational decision-making.
  • Financial & Business Decision Support: Support analytical efforts related to financial and operational data, including data preparation and validation. Assist with scenario analysis and basic forecasting models to understand potential business outcomes. Collaborate with team members to understand how data-driven insights inform capital planning and strategic decisions.
  • Geospatial & Data Enrichment Exposure: Assist with the preparation and analysis of geospatial or location-based data used in market analysis and planning. Support the development or maintenance of simple dashboards or visualizations that incorporate geographic or spatial insights. Gain exposure to GIS tools and geospatial analytics workflows used by the team.
  • Technology & Tools Enablement: Work with data science and analytics tools to clean, transform, and analyze datasets. Assist in documenting analytical processes, data sources, and assumptions to support repeatable workflows. Learn how analytics solutions integrate with broader enterprise systems and reporting tools.
  • Collaboration & Learning: Collaborate with data scientists, analysts, and cross-functional partners to support ongoing analytics initiatives. Participate in team meetings, project discussions, and knowledge-sharing sessions. Seek feedback and apply learnings to continuously improve technical and analytical skills.
  • Additional Duties: Handle additional duties as assigned by Management.

Benefits

  • Our hard and efficient work is rewarded with an above market total compensation package.
  • We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.
  • Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.
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