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Graduate Data Science Intern Jobs in Pittsburgh, PA

Duolingo

Senior Data Scientist, User Growth

Pittsburgh, PA · On-site

$182K - $247K/yr

A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology. * Strong command of SQL, Python or R ...

Chatham

Graduate Assistant - Research

Pittsburgh, PA · On-site

Graduate Research Assistant (2) School of Business and Enterprise Position Overview The School of ... Background in business analytics or data science Skills and Competencies * Strong organizational ...

PNC Bank

Technology Undergraduate Intern

Pittsburgh, PA · On-site

$18 - $35/hr

As a Technology Summer Intern within PNC's Technology organization, you will be based in Pittsburgh ... Developer, Data Analytics, Data Science), sophomore or junior status, Minimum GPA 3.0.

PNC

Technology Undergraduate Intern

Pittsburgh, PA

$18 - $35/hr

As a Technology Summer Intern within PNC's Technology organization, you will be based in Pittsburgh ... Developer, Data Analytics, Data Science), sophomore or junior status, Minimum GPA 3.0.

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

As of Sep 6, 2026, the average hourly pay for graduate data science intern in Pittsburgh, PA is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.80 per hour, depending on experience, location, and employer.

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

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

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in Pittsburgh, PA?

For Graduate Data Science Intern jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Graduate Data Science Intern jobs in Pittsburgh, PA look for?

The top searched job categories for Graduate Data Science Intern jobs in Pittsburgh, PA are:

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Cities near Pittsburgh, PA with the most Graduate Data Science Intern job openings:

Graduate Data Science Intern jobs near you
Infographic showing various Graduate Data Science Intern job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,443 per year, or $21.8 per hour.

Senior Data Scientist, Growth Forecasting

Duolingo

Pittsburgh, PA

Full-time

Posted 10 days ago

Job description

Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in!

At Duolingo, you'll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You'll have limitless learning opportunities and daily collaborations with world-class minds - while doing work that's both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will be part of our Growth Data Science team, collaborating with peers and cross-functional partners in Product, Finance, and Strategy to continuously improve our forecasting capabilities. They will drive methodological advances and deliver trustworthy business-critical quarterly forecasts, built on a deep understanding of the dynamics of user growth across Duolingo's product portfolio.

  You will...

  • Join a small team of data scientists focused on User Growth forecasting. Collaborate with peers and mentor junior data scientists to ensure that our forecasts remain trustworthy and reliably delivered.
  • Work with diverse stakeholders to develop forecasts that reflect a deep understanding of our product development, big bets, and evolving business strategy.
  • Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners. Influence strategic decisions through a combination of technical depth and effective communication.
  • Develop and validate methodological advances to our forecasts, aligning methodological strengths with business priorities.
  • Build systems and processes that ensure our forecasting process is robust and repeatable.

  You have...

  • Applied industry experience building forecasts in messy real world settings where details, confounds, and the validity of assumptions matter.
  • A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques.
  • Demonstrated ability to connect technical results to real-world recommendations, and to translate product and business changes into technical requirements.
  • Strong command of SQL, Python, AI analysis tools, and data/analytics engineering ecosystems. 
  • Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.

  Exceptional candidates will have...

  • Experience operating at a high-growth consumer technology company, including experience with user growth forecasting specifically.
  • Experience at a public company, including the analytical demands that come with investor-grade reporting and forecasting.
  • An impressive Duolingo streak.

Apply