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Data Science Analyst Intern Jobs (NOW HIRING)

PTR Global

Senior Data Science Analyst

Richmond, VA · On-site

$57 - $61/hr

Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote) Duration: 12 months Job ID: 178683 Job Overview: The Senior Data Science Analyst will play a critical role in ...

Unchain Data

Data Science Intern

San Francisco, CA · On-site

$50/hr

This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design ...

New

Unchain Data

$50/hr

This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design ...

New

eBay Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action. * Demonstrated success applying data science ...

thg

Intern - Business Data Analyst

Worcester, MA · On-site

Role Overview The Data Analyst Intern will support the Data Strategy and Governance team in ... Currently enrolled in a bachelor's or advanced degree program in Data Analytics, Data Science ...

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How much do data science analyst intern jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data science analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

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Data Science Analyst Intern jobs near you
Infographic showing various Data Science Analyst Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Analyst Revenue Management

Long Island City, NY • On-site

JetBlue Airways Corporation
Aviation • 10K+ employees
Learn more about JetBlue Airways Corporationexternal

Full-time

Medical, Life, Retirement

Posted 6 days ago

JetBlue rating

7.6

Company rating: 7.6 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

Job description

Position Summary
The Data Scientist Analyst - Revenue Management reports to the Manager, Revenue Management Systems Strategy & Optimization and is a member of the Revenue Management Systems Strategy & Optimization Team within IT Data. The team is dedicated to supporting the analytics and data science needs of the Revenue Management department and serves as the primary owner of the Revenue Management System.
The Data Science Analyst performs sophisticated analyses, including statistical analysis, in support of the data science and revenue management products developed by this team. They are responsible for Exploratory Data Analysis (EDA), including the development of insights for internal use as well as creating compelling visualizations and communicating findings effectively to technical and business audiences. They develop and maintain analytical support tools including dashboards and automated data-based workflows.
They will work with data scientists in a collaborative capacity, providing data-driven insights and business-based suggestions to guide the development of machine learning products. They will also work directly with analysts in the Revenue Management department to provide support related to both in-house and off-the-shelf data products, including the RMS. The Data Science Analyst will also support training and best practice development to empower the RM team's day-to-day pricing and yield management effectiveness.
Essential Responsibilities
  • Collaborate with the Revenue Management department to translate their needs or challenges into analytical, machine learning or statistical problems.
  • Support the development of data products through exploratory data analysis, feature engineering, and development of basic machine learning models.
  • Leverage A/B testing techniques to uncover the underlying impact of RM strategies and external factors
  • Develop new Business Intelligence tools and/or update existing BI tools to integrate model outputs/recommendations in revenue managers' workflows
  • Develop training and best practice processes for Revenue Management system users; study RMS intervention effectiveness and suggest workflow improvements as needed
  • Effectively communicate models and analytical outputs with the RM team, IT Data Science, and additional Commercial IT partners
  • Administer, maintain, and evaluate RM system business rules, settings, and data feeds
  • Own and continuously improve critical RM data processes to enable market management strategies
  • Effectively communicate experiments, models and analytics outputs with partners
  • Other duties as assigned

Minimum Experience and Qualifications
  • Bachelor's Degree in computer science or a quantitative discipline; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and at least four (4) years of previous relevant work experience
  • One (1) years of relevant industry experience
  • Proficiency in Python, R, or Structured Query Language (SQL)
  • Data curiosity and motivation to develop data-driven solutions
  • Ability to communicate their findings to both technical and non-technical audience
  • Proficiency in statistical analysis and hypothesis testing
  • Full proficiency in Excel
  • Proficiency in Tableau or similar business intelligence tools
  • Ability to work independently and in a team environment
  • Excellent verbal and written communication skills
  • Available for overnight travel (10%)
  • Must pass a pre-employment drug test
  • Must be legally eligible to work in the country in which the position is located
  • Authorization to work in the US is required, this position is not eligible for visa sponsorship

Preferred Experience and Qualifications
  • Advanced degree in computer science, statistics, business, or a quantitative discipline
  • One (1) year analytics experience in either an airline or Revenue Management setting (airline RM preferred)
  • One (1) year experience working in Data Science in an industry setting.
  • Experience within the airline industry
  • Experience with revenue management, dynamic availability, and/or continuous pricing systems
  • Experience designing and conducting A/B testing and leveraging natural experiments where applicable
  • Experience building machine learning models
  • Experience working with data automations or orchestration tools such as Databricks Workflows

Crewmember Expectations:
  • Regular attendance and punctuality
  • Potential need to work flexible hours and be available to respond on short notice
  • Able to maintain a professional appearance
  • When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun
  • Promote JetBlue's #1 value of safety as a Safety Ambassador, supporting JetBlue's Safety Management System (SMS) components, Safety Policy and behavioral standards
  • Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue's confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))
  • Candidates must reside within 50 miles of any JetBlue BlueCity location and be able to attend in person collaboration sessions for a few days each month
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position.

Equipment:
  • Computer and other office equipment

Work Environment:
  • Hybrid

Physical Effort:
  • Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)

Compensation:
  • The base pay range for this position is between $95,000.00 and $135,000.00 per year. Base pay is one component of JetBlue's total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

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JetBlue Airways is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other legally protected basis.

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