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Python Data Analysis Internship Jobs in Vermont (NOW HIRING)

ND Group

Data Scientist

Montpelier, VT · On-site

$46.15 - $66.67/hr

Provide support for all departments with analytical and predictive needs. * Prepare needed ... Strong skills in Python & SQL. Key Measurement Metrics * All models in production outperform the ...

THOMSON REUTERS

Data Engineer

Burlington, VT · Hybrid

$114K - $138K/yr

... analyzing, modeling, and explaining large data in support of complex investigations. Success in ... Proficiencyin at least one programming language (Python, Java,R,etc),includingcreating programs for ...

Signify

Lead Development Engineer

Burlington, VT

$154K - $172K/yr

... analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can ... Python; * Data persistence technologies including relational databases and noSQL solutions;

Genlyte Group

Lead Development Engineer

Burlington, VT · On-site

$154K - $172K/yr

... analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can ... Python; * Data persistence technologies including relational databases and noSQL solutions;

Danaher

Software Engineer Internships

Rutland, VT · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Rutland, VT

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Barre, VT · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Barre, VT

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Montpelier, VT · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Burlington, VT · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

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Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in Vermont? The most popular types of Python Data Analysis jobs in Vermont are:
What job categories do people searching Python Data Analysis Internship jobs in Vermont look for? The top searched job categories for Python Data Analysis Internship jobs in Vermont are:
What cities in Vermont are hiring for Python Data Analysis Internship jobs? Cities in Vermont with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you
Data Scientist-Direct Hire-6-Month Register

Data Scientist-Direct Hire-6-Month Register

US Department of the Treasury

Rutland, VT • On-site

$125K/yr

Other

Posted 5 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

223rd of 668 rated public administrative organizations

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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