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Python Data Analysis Internship Jobs in Centereach, NY

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Strong analytical and problem-solving abilities with attention to detail and data accuracy ... Internship experience in a data scientist role #LI-JV1 BDA302 2026-79974 2026 Here, our employees ...

(USA) Data Analyst II

East Meadow, NY · On-site

$84K - $156K/yr

... data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 350 5TH AVE, STE 4800 NEW YORK, NY 10118 ...

(USA) Data Analyst II

Levittown, NY · On-site

$84K - $156K/yr

... data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 350 5TH AVE, STE 4800 NEW YORK, NY 10118 ...

(USA) Data Analyst II

Hicksville, NY · On-site

$84K - $156K/yr

... data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 350 5TH AVE, STE 4800 NEW YORK, NY 10118 ...

Required Skills Excellent analytical, written and verbal communication skills Required Experience ... Python programming and understanding of the software development life cycle Knowledge of Linear ...

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Python Data Analysis Internship information

See Centereach, NY salary details

$12

$23

$44

How much do python data analysis internship jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python data analysis internship in Centereach, NY is $23.54, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $25.67 per hour, depending on experience, location, and employer.

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?

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 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 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 job categories do people searching Python Data Analysis Internship jobs in Centereach, NY look for?

The top searched job categories for Python Data Analysis Internship jobs in Centereach, NY are:

What cities near Centereach, NY are hiring for Python Data Analysis Internship jobs?

Cities near Centereach, NY with the most Python Data Analysis Internship job openings:

Infographic showing various Python Data Analysis Internship job openings in Centereach, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $48,972 per year, or $23.5 per hour.

Associate Data Scientist

Stamford, CT • Hybrid

$62K - $63K/yr

Full-time

Re-posted yesterday


Key responsibilities

  • Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact

  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements

  • Assist in cleaning, aggregating and analyzing large data sets to generate actionable insights


Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Curious about how data shapes business decisions and drives innovation? Join Spectrum as an Associate Data Scientist and help uncover insights that solve real business challenges. Collaborate with experienced data scientists, sharpen your technical skills and learn to communicate complex ideas effectively. Your work will directly support Spectrum’s mission to deliver impactful, data-driven solutions.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Assist in cleaning, aggregating and analyzing large data sets to generate actionable insights
  • Collaborate with stakeholders to identify opportunities for business improvement using statistical and analytical methods
  • Help design and implement statistical data quality procedures for new and existing data sources
  • Contribute to communicating data science concepts and solutions clearly to team members and business leaders
  • Establish connections across data sources and identify new, meaningful data relationships
  • Aid in presenting findings and recommendations to key stakeholders while ensuring project goals are met on time

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 0-3 years of experience in data analytics
  • 0-2 years of programming experience

Skills

  • Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
  • Interpersonal, verbal and written communication skills with a focus on teamwork
  • Minimal experience with analytical and statistical software
  • Basic SQL skills
  • Strong analytical and problem-solving abilities with attention to detail and data accuracy
  • Ability to perform thorough research and analysis
  • Commitment to confidentiality and proper handling of sensitive information
  • Knowledge of computer science principles such as algorithms, data structures and design methodologies

Preferred Qualifications

Experience

  • Internship experience in a data scientist role

#LI-JV1
BDA302 2026-79974 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
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Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 0-3 years of experience in data analytics
  • 0-2 years of programming experience

Skills

  • Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
  • Interpersonal, verbal and written communication skills with a focus on teamwork
  • Minimal experience with analytical and statistical software
  • Basic SQL skills
  • Strong analytical and problem-solving abilities with attention to detail and data accuracy
  • Ability to perform thorough research and analysis
  • Commitment to confidentiality and proper handling of sensitive information
  • Knowledge of computer science principles such as algorithms, data structures and design methodologies

Preferred Qualifications

Experience

  • Internship experience in a data scientist role
Employment Type: Full Time