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Internship Data Sourcing Jobs (NOW HIRING)

Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

Sourcing Analyst

Syracuse, NY · On-site

$71K - $75K/yr

High attention to detail and accuracy in data management and documentation. * Ability to manage ... analytical role (internships accepted). * Certification: APICS, Lean Six Sigma, Power BI.

Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data ... internship experience * Comfort with analyzing novel data and explaining concepts to non-technical ...

Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data ... internship experience * Comfort with analyzing novel data and explaining concepts to non-technical ...

This internship provides hands-on exposure to fabric and trim development, supplier communication ... organization, data accuracy, and on-time execution. The ideal candidate is eager to learn ...

This internship provides hands-on exposure to fabric and trim development, supplier communication ... organization, data accuracy, and on-time execution. The ideal candidate is eager to learn ...

This internship provides hands-on exposure to fabric and trim development, supplier communication ... organization, data accuracy, and on-time execution. The ideal candidate is eager to learn ...

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Internship Data Sourcing information

What are the key skills and qualifications needed to thrive as an Internship Data Sourcing professional, and why are they important?

To thrive in an Internship Data Sourcing role, you need strong analytical skills, attention to detail, and familiarity with data collection methods, often supported by coursework in statistics or business. Proficiency in tools like Excel, Google Sheets, and basic experience with data management systems or databases is commonly expected. Effective communication, resourcefulness, and organizational skills are important soft skills for collaborating with teams and managing multiple data sources. These abilities ensure accurate, efficient data gathering and support informed decision-making for business or research needs.

What is an Internship Data Sourcing role?

An Internship Data Sourcing role involves supporting the process of finding, collecting, and organizing data that a company or organization needs for its operations or projects. Interns in this position may research public databases, scrape online sources, verify data accuracy, and help manage large datasets. The job provides valuable experience in data analysis, attention to detail, and familiarity with data management tools. It is ideal for students or recent graduates interested in data science, research, or analytics.

What types of tasks and projects can I expect as an intern in data sourcing, and how much autonomy will I have?

As an intern in data sourcing, you'll typically be responsible for identifying, collecting, and organizing data from a variety of sources to support analytical or business objectives. Your daily tasks may include web research, data validation, and assisting with database management. While interns often start with guided assignments, many organizations encourage independent problem-solving and allow interns to propose new sourcing methods. You'll usually collaborate closely with data analysts, engineers, and sometimes marketing or business teams, providing a great opportunity to learn cross-functional communication and project management skills.
More about Internship Data Sourcing jobs
What cities are hiring for Internship Data Sourcing jobs? Cities with the most Internship Data Sourcing job openings:
What are the most commonly searched types of Data Sourcing jobs? The most popular types of Data Sourcing jobs are:
What states have the most Internship Data Sourcing jobs? States with the most job openings for Internship Data Sourcing jobs include:
Infographic showing various Internship Data Sourcing job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Data Science Analyst

Data Science Analyst

Copart, Inc.

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Copart rating

6.7

Company rating: 6.7 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

11th of 16 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart data science initiatives through the analysis and implementation of data science solutions. The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current products and visualize and report on findings and results to provide insight to the organization
Job Duties:
  • Design, implement, and analyze data science projects to improve the efficiency of Copart Operations
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model, and other analysis prior to presenting with internal customers
  • Apply insights from data analysis to guide the development of business initiatives.
  • Apply various machine learning techniques to build predictive models.
  • Continually engage in professional development to grow both technical skills, business, and industry knowledge.

Required Skills and Experience:
  • 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques. Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation in SQL
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance.
  • Strong data visualization skills using open-source tools (seaborns, matplotlib, plotly, ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques.

Benefits Summary:
• Medical/Dental/Vision
• 401k plus a company match
• ESPP - Employee Stock Purchase Plan
• EAP - Employee Assistance Program (no cost to you)
• Vacation & Sick pay
• Paid Company Holidays
• Life and AD&D Insurance
• Discounts
Along with many other employee benefits.
#LI-KK1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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