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Internship Python Data Science Jobs in Colorado (NOW HIRING)

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

... in Python and deep expertise in data science libraries such as, Scikit- learn, Pandas, NumPy, XGBoost. โ€ข Advanced proficiency in SQL, with hands-on experience querying and manipulating large ...

Data Scientist AI/ML

Fort Collins, CO ยท On-site

$102K - $146K/yr

... science or AI-focused role within fintech, banking, or payments. * Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. * Strong background in ...

Data Scientist AI/ML

Fort Collins, CO ยท On-site

$102K - $146K/yr

... science or AI-focused role within fintech, banking, or payments. * Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. * Strong background in ...

... using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

Data Scientist 3

Colorado Springs, CO ยท On-site

$155K - $185K/yr

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 ...

Data Scientist 3

Colorado Springs, CO ยท On-site

$155K - $185K/yr

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 ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Python, R, and Snowflake. Experience within a large financial services, banking, insurance, or ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Python, R, and Snowflake. Experience within a large financial services, banking, insurance, or ...

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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:
Data Scientist

$61K/yr

Other

PTO

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Public Service Loan Forgiveness Program and Creditable Service for Annual Leave Accrual are available.
This position is in the FSIS Office of Planning, Analysis and Risk Management (OPARM), which leads FSIS efforts related to data analysis and advanced analytics.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and/or education, as defined below.
Applicants must have one year of specialized experience equivalent to the GS-07 grade level in the Federal service or equivalent responsibility in the private sector/pay systems. This specialized experience must include all the following:
  • Writing computer programs and algorithms using software/programming languages such as, but not limited to Python, R, SAS, and SQL.
  • Cleaning/transforming data to address issues such as missing values, outliers, duplicates, functional dependencies, etc.
  • Training or experience extracting and transforming data from relational databases using Python, R, SAS, or SQL.
To substitute education for experience, you must meet at least one of the individual occupational requirements identified in the education section of the announcement.
AND
You must possess a master's or equivalent graduate degree or 2 years of progressively higher-level graduate education leading to a master's degree. This education demonstrates the knowledge, skills, and abilities necessary to do the work of this position.
OR
Combination of Experience and Education: You must have an appropriate combination of successfully completed graduate level education and experience. The quality of the combination of education and experience must be sufficient to demonstrate that you possesses the knowledge, skills, and abilities required to perform work in the occupation. To determine your combination, first compute your experience as a percentage of the experience listed in the job announcement (1 year of specialized experience); then determine your education as a percentage of the education listed above; then add the two percentages. The total percentages must equal at least 100 percent. Only graduate education in excess of 1 year (18 semester hours) may be used to qualify.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Basic Requirements:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
or
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Click here for more information on this series: OPM Data Science Series 1560Employment Type: OTHER