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Internship Python Data Science Jobs in Colorado (NOW HIRING)

My Goodwill

Intern, Data Science

Colorado Springs, CO · On-site

$23 - $27/hr

... Internship (Intern), Data Science to support a high-impact analytics initiative focused on ... Experience with Python or R for data analysis. * Familiarity with regression, exploratory analysis ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

Microsoft AI

Senior Data Scientist

Boulder, CO · On-site

Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics ... Python code. • Demonstrated interest in Responsible AI. Company : Microsoft AI is a software ...

Deloitte

AI and Data Science Engineer III

Denver, CO · On-site

$117K - $141K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

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Internship Python Data Science information

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Colorado? For Internship Python Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Colorado look for? The top searched job categories for Internship Python Data Science jobs in Colorado are:
Internship Python Data Science jobs near you

Intern, Data Science

My Goodwill

Colorado Springs, CO • On-site

$23 - $27/hr

Full-time

Retirement

Posted 9 days ago

Job description

Applications due by June 19, 2026
Goodwill of Colorado
Job Description
Pay: $23.00 - $27.00 / hour
This position is eligible for Daily Pay! Work today, get paid today! We've partnered with DailyPay, a voluntary benefit to offer employees access to their pay on their own schedule.
Work Schedule: Full-Time; 30-40 hours per week; 6-8 hours per day; Monday - Friday
This position is eligible for Paid Sick and Safe Time (PSST) under the Healthy Families and Workplaces Act. All employees may also make pre-tax or post-tax (Roth) contributions to our retirement plan - must be 18 years of age to participate.
JOB SUMMARY:
Goodwill of Colorado, a $220 Million social enterprise and Human Services organization, is seeking an Internship (Intern), Data Science to support a high-impact analytics initiative focused on understanding and modeling Retail margin drivers across our donated goods business. This role will work at the intersection of data, operations, and mission, helping to translate complex Retail dynamics into actionable insights that directly support Goodwill's mission. The Intern will contribute to the design and development of a data-driven model that explains and predicts margin performance across stores, categories, and operational levers.
ESSENTIAL FUNCTIONS:
  • Conduct exploratory data analysis to identify candidate margin drivers across pricing, inventory mix, sell through, labor, donation flow, and store operations, using historical data.
  • Build predictive analytical models to assess:
    • Which drivers materially impact margin - X variables that truly move the Y variable.
    • The direction of impact (positive/negative).
    • Non linear effects, inflection points, and diminishing returns.
  • Refine the models based on testing and comparison, considering alternative approaches, and input from key stakeholders. Document assumptions and limitations for the models.
  • Partner with Retail, Finance, Information Technology (IT), and Operations stakeholders to translate business questions into analytical approaches.
  • Clearly communicate findings suitable for business discussion without over-focusing on the underlying mathematical basis.
  • The Intern may occasionally be assigned other duties to support the company.

Example Scope of Work
  • Deconstruct store level margin for a single store, then expand to multiple stores. Alternatively, start at company-level and drill down to individual store.
  • Analyze impact of specific variables such as price/markdown, donation supply, etc.
  • Model margin optimization at a product category level.

QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education:
Required:
  • Current undergraduate or graduate student in Data Science, Statistics, or related field.
  • Strong analytical reasoning and quantitative analysis skills.
  • Experience with Python or R for data analysis.
  • Familiarity with regression, exploratory analysis, and basic modeling techniques.
  • Ability to explain analytical findings and modeling concepts to business stakeholders.
  • The majority of the work is required to be on site at our Colorado Springs campus.

Preferred:
  • Coursework or experience in non-linear modeling or causal inference concepts.
  • Experience with SQL and reporting tools.
  • Interest in social justice and impact, mission driven organizations, or public service.
  • Stamina and aptitude for test-learn-refine work.

Internship Outcomes:
  • Hands-on experience conducting exploratory analysis and solving real business problems.
  • A portfolio quality project demonstrating how data science informs strategic decision making. Inclusion in an Intern's portfolio will be subject to approval of wording, content, and logo approval by Goodwill of Colorado.
  • Exposure to how analytical insight is translated into operational guidance.
  • Mentorship from leaders working at the intersection of data, strategy and mission.

Other Requirements for Employment:
  • Non-disclosure agreement will be executed between Intern and Goodwill of Colorado.
  • Work product of selected candidate will be owned and controlled solely by Goodwill of Colorado
  • Successful completion of the project will result in a reference letter and the opportunity to include an approved statement to enter in the Intern's portfolio of work.

Goodwill is an Equal Opportunity Employer dedicated to employing qualified individuals including those with disabilities, protected veterans and military spouses.
Goodwill participates in E-Verify. For more information on E-Verify, please contact DHS: 888-897-7781 or www.dhs.gov/E-Verify.
We promote a Safe & Drug-free Workplace.
Physical Requirements
Attachment to Job Description
Job Title: 177 - Intern, Data Science Dept Number: 9000
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.
Guide to Physical Requirements:
  • Continuously (5-8 hours)
  • Frequently (3-4 hours)
  • Occasionally (1-2 hours)
  • Never

LIFTING: (as defined by ADA)
Heavy: 45 lbs & over - NEVER
Moderate: 15-44 lbs - NEVER
Light: 14 lbs & under - OCCASIONALLY
CARRYING:
Heavy: 45 lbs & over - NEVER
Moderate: 15-44 lbs - NEVER
Light: 14 lbs & under - OCCASIONALLY
PUSHING/PULLING - OCCASIONALLY
REACHING:
Above Shoulder - OCCASIONALLY
At Shoulder - OCCASIONALLY
Below Shoulder - OCCASIONALLY
TWISTING - OCCASIONALLY
BENDING - OCCASIONALLY
KNEELING/CRAWLING - OCCASIONALLY
SQUAT - OCCASIONALLY
CLIMBING:
Use of legs only (stairs) - OCCASIONALLY
Use of arms & legs (ladders) - NEVER
HEARING - CONTINUOUSLY
VISION:
Visual, close - CONTINUOUSLY
Visual, distant - CONTINUOUSLY
Visual, depth perception - CONTINUOUSLY
HANDS/FINGERS:
Simple grasping - CONTINUOUSLY
Fine Manipulation - CONTINUOUSLY
Repetitive Movements - CONTINUOUSLY
WALKING - OCCASIONALLY
STANDING - OCCASIONALLY
SITTING - CONTINUOUSLY
SPEAKING - CONTINUOUSLY
OTHER, please describe -
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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