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Internship Machine Learning Quant Jobs in Colorado

... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Fall 2026 Intern - Treasury

Denver, CO

$15.75 - $20.75/hr

... learning opportunities that support ongoing professional development and career growth. The ... This internship is for Fall 2026 -9/9/2026 - 12/11/2026 based in Denver, CO. Essential Functions ...

Fall 2026 Intern - Treasury

Denver, CO · On-site

$15.75 - $20.75/hr

... learning opportunities that support ongoing professional development and career growth. The ... This internship is for Fall 2026 -9/9/2026 - 12/11/2026 based in Denver, CO. Essential Functions ...

Fall 2026 Intern - Treasury

Denver, CO · On-site

$15.75 - $20.75/hr

... learning opportunities that support ongoing professional development and career growth. The ... This internship is for Fall 2026 -9/9/2026 - 12/11/2026 based in Denver, CO. Essential Functions ...

Senior Applied AI/ML Scientist

Denver, CO · On-site

$180K - $225K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * PhD in AI, Machine Learning or Computer Science preferred * Minimum 4 years of experience in ...

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

... machine learning, and generative AI techniques to enhance network security and operational ... Bachelor's (8+ years) or Master's (6+ years) in computer science or related quantitative field ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive ...

... quantitative discipline and 4 years of experience in predictive analytics or data analysis. * 4 years of experience in training and validating statistical, physical, machine learning, and other ...

... quantitative discipline and 4 years of experience in predictive analytics or data analysis. * 4 years of experience in training and validating statistical, physical, machine learning, and other ...

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Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Colorado? The most popular types of Machine Learning Quant jobs in Colorado are:
What are popular job titles related to Internship Machine Learning Quant jobs in Colorado? For Internship Machine Learning Quant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Colorado look for? The top searched job categories for Internship Machine Learning Quant jobs in Colorado are:
What cities in Colorado are hiring for Internship Machine Learning Quant jobs? Cities in Colorado with the most Internship Machine Learning Quant job openings:
Infographic showing various Internship Machine Learning Quant job openings in Colorado as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 70% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Data Scientist 3

GRVTY

Colorado Springs, CO

Other

Re-posted yesterday


Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • Possess 2 or more of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
  • Active TS/SCI w/ poly