ZipRecruiter

Log In

1

Data Science Fall Internship Jobs in Denver, CO (NOW HIRING)

Vizient

Lead Data Scientist

Englewood, CO

You will design scalable data science products, translate sophisticated analytical findings into ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

next page

Showing results 1-20

All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Denver, CO

Data Science Fall Internship information

See Denver, CO salary details

$12

$23

$43

How much do data science fall internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data science fall internship in Denver, CO is $23.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a data science fall intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Denver, CO?

For Data Science Fall Internship jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Science Fall Internship jobs in Denver, CO look for?

The top searched job categories for Data Science Fall Internship jobs in Denver, CO are:

Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Denver, CO as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $48,180 per year, or $23.2 per hour.

Technical Project Manager (Data Science)

Vizient

Englewood, CO

$77K - $135K/yr

Full-time

Re-posted 26 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will lead complex, enterprise-level technology initiatives within Data Science. You will partner closely with Data Science leadership, business stakeholders, architects, engineers, and external vendors to deliver projects that support Vizient's strategic priorities and long-term technology roadmap. You will ensure projects are delivered on time, within scope, and aligned with operational, security, and architectural standards while regularly communicates project progress, risks, and mitigation strategies.

Responsibilities:

  • Lead cross-functional Data Science projects from initiation to implementation and operational transition utilizing various methodologies.
  • Develop project artifacts including charters, schedules, budgets, status reports, and risk registers.
  • Drive accountability across technical teams, vendors, and business stakeholders.
  • Serve as primary liaison between business owners, Data Science teams, and vendors.
  • Facilitate project meetings, executive updates, and decision-making forums.
  • Communicate project status, risks, and mitigation plans to leadership and executives.
  • Proactively manage risks, issues, dependencies, and change requests.
  • Ensure project objectives align with business outcomes and enterprise technology strategy.
  • Partner with enterprise architects, infrastructure, and data science teams to ensure compliance with standards.
  • Translate technical concepts into business-focused communication for executives and non-technical stakeholders.
  • Oversee vendor deliverables, SOWs, and integration activities.

Qualifications:

  • Relevant degree preferred in Computer Science, Information Systems, Engineering, Business, or related field
  • 2 or more years of relevant experience with IT/Data Science project management and demonstrated success leading enterprise technical initiatives is required.
  • Experience leading small and large projects is required.
  • Experience working in a matrixed environment with cross-functional teams.
  • Strong understanding of Software Development Life Cycle (SDLC), infrastructure, cloud technologies, and enterprise platforms.
  • Proficiency with Smartsheet, MS Project, Jira, ServiceNow, or similar PM tools.
  • Strong communication and stakeholder management skills, including executive-level updates.
  • PMP, PgMP, or PMI-ACP certification highly preferred.
  • Experience supporting healthcare, analytics, or SaaS-based environments preferred.
  • Experience working within Complex IT processes, architecture, and governance preferred.
  • Demonstrated ability to take ownership, work independently, and drive results in a fast-paced environment.
  • Ability to manage multiple priorities, balance competing demands, and meet deadlines.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Apply