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Vantage Data Centers

Data Scientist Intern, NA

Posted 2 Days Ago
Be an Early Applicant
In-Office
Denver, CO
20-25 Hourly
Internship
In-Office
Denver, CO
20-25 Hourly
Internship
Support data analysis, exploratory analysis, basic predictive/statistical modeling, and visualization. Assist with financial and operational data preparation, scenario analysis, forecasting, and geospatial data workflows. Collaborate with data scientists and cross-functional teams, document processes, and help maintain dashboards while learning analytics tools and best practices.
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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.

 

Essential Job Functions 

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. 

Job 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.

  • Previous internship experience preferred but not required.

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.

  • Experience with common data analysis libraries (e.g., pandas, NumPy, scikit-learn, statsmodels) preferred.

  • 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.

Physical Demands and Special Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.

Additional Details

  • Salary Range: $20-$25/hr.

  • We will have 2 intern cohort timeframes to choose from: June 1st, 2026 - August 7th, 2026 and June 22nd, 2026 - August 28th, 2026

  • Travel required is expected to be up to 5% but may increase over time as the business evolves.

We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. 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.

Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

Vantage Data Centers is an Equal Opportunity Employer

Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.

We’ll be accepting applications for at least one week from the date this role is posted. If you're interested, we encourage you to apply soon—we’re excited to find the right person and will keep the role open until we do!

Top Skills

Python,R,Sql,Pandas,Numpy,Scikit-Learn,Statsmodels,Gis

Vantage Data Centers Denver, Colorado, USA Office

100 Fillmore St, Suite 610, , ,, Denver, Colorado , United States, 80206

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