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Data Science Intern Jobs in Colorado (NOW HIRING)

Hercules Industries

Data Scientist

Denver, CO · On-site

Required : • Bachelor's degree in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master's preferred) • 3-7+ years of experience in data science, advanced ...

Radiance Technologies

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience). * Five (5) or more years of experience as a Data ...

Radiance Technologies

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience). * Five (5) or more years of experience as a Data ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Keysight Technologies, Inc.

Applied Data Scientist

Loveland, CO

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's or PhD in Data Science, Computer Science, Electrical Engineering, Statistics , or related field. * 1+ years' experience as a Data Scientist / Applied Data Scientist * Proven ability to build ...

Booz Allen Hamilton

Data Scientist, Lead

Aurora, CO

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

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How much do data science intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data science intern in Colorado is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.77 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
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What job categories do people searching Data Science Intern jobs in Colorado look for? The top searched job categories for Data Science Intern jobs in Colorado are:
What cities in Colorado are hiring for Data Science Intern jobs? Cities in Colorado with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $49,221 per year, or $23.7 per hour.

Principal Data Scientist (TS/SCI with Polygraph Required)

DeNOVO Solutions

Aurora, CO • On-site

$150K - $190K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Position: Senior Data Scientist
Location: Aurora, CO
Clearance: TS/SCI with CI Polygraph
Support Emerging Mission Needs and Help Shape DeNOVO’s Data Science Capability

DeNOVO Solutions is seeking a Senior Data Scientist to help develop, refine, and strengthen our data science and mission-focused technical capabilities. This is a unique opportunity for a senior-level data scientist with a strong background in applied machine learning, data engineering, software development, secure deployment environments, and technical leadership. The ideal candidate will be comfortable working across research, development, architecture, deployment, and stakeholder engagement while helping shape practical AI/ML solutions for emerging mission needs.

Why You’ll Love This Role:
  • Help develop and refine DeNOVO’s broader data science capability
  • Work closely with DeNOVO’s CEO in a highly visible role focused on capability growth and technical direction
  • Apply advanced data science, machine learning, data engineering, and software development experience to emerging mission needs
  • Help shape practical AI/ML solutions that support mission-focused opportunities
  • Work in a hands-on role that blends research, solution design, implementation, deployment, and stakeholder collaboration
A Day in the Life:
  • Help develop and refine DeNOVO’s data science capability
  • Research, build, evaluate, and deploy machine learning and AI-enabled applications
  • Design and implement data science solutions that align with user needs, mission goals, and technical objectives
  • Communicate with technical and non-technical stakeholders to understand requirements, data landscapes, and solution goals
  • Provide technical recommendations to ensure data science and AI/ML solutions are practical, scalable, and aligned to stakeholder needs
  • Develop and support machine learning, generative AI, and LLM-based applications where applicable
  • Support semantic search, summarization, text extraction, classification, embedding analysis, and natural language processing use cases
  • Build scalable data pipelines and support data engineering workflows
  • Develop backend services, APIs, microservices, and data-driven applications
  • Support deployment of software and data science applications in commercial cloud and secure environments
  • Use containerization and orchestration technologies to package, deploy, and manage software components
  • Support MLOps, DevOps, and GitOps practices to improve repeatability, deployment efficiency, and lifecycle management
  • Develop visualizations, dashboards, and analytical tools to help communicate insights and recommendations
  • Collaborate with leadership, engineers, and stakeholders to identify opportunities for data science, automation, and AI/ML capability growth
  • Provide technical leadership, mentoring, and guidance to other technical contributors as needed
  • Create documentation, technical recommendations, and capability-development materials to support long-term growth
What You Bring to the Table:
  • Senior-level experience in data science, data engineering, machine learning, and software development
  • Experience researching, building, evaluating, and deploying machine learning and AI-enabled applications
  • Strong background with applied machine learning, including supervised and unsupervised learning approaches
  • Experience with generative AI, large language models, RAG, semantic search, summarization, text extraction, and NLP-related use cases
  • Experience building scalable data pipelines and supporting data engineering workflows
  • Experience developing APIs, microservices, backend services, and data-driven applications
  • Experience deploying software or data science applications in commercial cloud and secure environments
  • Experience with containerization, orchestration, and modern deployment practices
  • Familiarity with MLOps, DevOps, GitOps, Agile/Scrum, and modern software development methodologies
  • Strong communication skills with the ability to work with technical and non-technical stakeholders
  • Ability to provide technical leadership, mentorship, and solution guidance in a hands-on environment
What You Need:
  • Experience: 15 years of experience in data science, data engineering, machine learning, software development, or a related technical discipline
  • Education: Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field preferred
  • Clearance: An active TS/SCI with CI Polygraph
Salary Range: $150,000.00 - $190,000.00 (Commensurate with experience)
Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.
About Us: DeNOVO Solutions. We make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent amp; skills equal to the larger companies.
Join Our Team! DeNOVO Solutions, LLC, a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB) dedicated to providing the best technical and professional services throughout the Intelligence Community (IC). We offer the following as part of our benefits package to all of our full-time employees:
  • Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
  • DeNOVO Paid Health Reimbursement Account (HRA)
  • 401k with 6% Match
  • 11 Paid Federal Holidays
  • 120 hours of Paid Time Off (PTO)
  • Company Outings and Trips
  • Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance
  • HomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home
DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.
Ready to Apply?
Join DeNOVO Solutions and help shape the data science capability supporting emerging mission-focused opportunities.

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