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Data Science Intern Jobs in Butler, PA (NOW HIRING)

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation. Key Responsibilities:

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation. Key Responsibilities:

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation. Key Responsibilities:

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation. Key Responsibilities:

All JobsData Science Intern JobsData Science Intern Jobs in Butler, PA

Data Science Intern information

See Butler, PA salary details

$10

$20

$37

How much do data science intern jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data science intern in Butler, PA is $20.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $22.12 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Butler, PA? The most popular types of Data Science jobs in Butler, PA are:
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Infographic showing various Data Science Intern job openings in Butler, PA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,199 per year, or $20.3 per hour.

Data Scientist I

Green Cabbage

Warrendale, PA • On-site

Full-time

Re-posted 10 days ago

Job description

Salary:

About the Role


At Green Cabbage we empower our customers in the procurement and negotiation process with industry data to save money, time and risk. The company is growing rapidly, and we want to set the foundation for accelerating our development team. We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation.


Key Responsibilities:

  • Analyze and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning and technical execution.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone and encourage others to do the same.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Qualifications:

  • Bachelor's Degree
  • 3 year(s) in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Operational research or equivalent)
  • At least 1 year of direct experience with feature identification in developing predictive models, data acquisition and preparation, and hypothesis testing.
  • At least 1 year experience in Python, R or other relevant language.


You demonstrate experience in:

  • Heavy contributor in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
  • Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
  • Experience processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases; and
  • Demonstrates abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
    • Managing GenAI application including back-end and front-end integrations
    • Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
    • Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
    • Vectorization and embedding, prompt engineering, RAG (retrieval augmented generation) workflow development
    • Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
    • Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.


Why Green Cabbage


Green Cabbage, the Global Leader in Procurement Intelligence, provides mid-market and enterprise clients with the data and expertise needed to achieve better deals across technology, third-party labor, marketing, and travel & expense contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green Cabbages precise, governed intelligence.


At Green Cabbage, we foster a collaborative, high-energy, and growth-minded culture. We move quickly, value accountability, and celebrate team wins. If youre passionate about building secure, modern IT systems that keep a business running efficiently and safely, wed love to hear from you.


We are an Equal Opportunity Employer and make employment decisions based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind based on race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under federal, state, or local law.