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Data Science Co Op Jobs in Raleigh, NC (NOW HIRING)

The Logistics Engineering Co-Op (January 12, 2027 - May 7, 2027) in our Durham, NC office offers ... Validate system data for time studies, historical data analysis and process review to determine ...

The Logistics Engineering Co-Op (January 12, 2027 - May 7, 2027) in our Durham, NC office offers ... Validate system data for time studies, historical data analysis and process review to determine ...

At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more ... Serve as co-author on peer-reviewed publications and technical reports. * Assist in writing ...

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Data Science Co Op information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data science co op jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science co op in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What are popular job titles related to Data Science Co Op jobs in Raleigh, NC? For Data Science Co Op jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Data Science Co Op jobs? Cities near Raleigh, NC with the most Data Science Co Op job openings:
Infographic showing various Data Science Co Op job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Full-time

Re-posted 10 days ago


Job description

Why GSK?

Uniting science, technology and talent to get ahead of diseases together.

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Department DescriptionThe AI Capabilities & Enablement (AiCE) organization is responsible for building, scaling, and enabling the adoption of AI-powered products, analytics, and intelligent decision-making capabilities across the business. AiCE partners closely with field, marketing, data science, technology, and commercial teams to translate AI strategy into practical solutions that improve productivity, accelerate insights, and drive business impact. Through a combination of AI product development, enablement, change management, and data-driven innovation, the team helps empower employees with the tools and capabilities needed to make smarter decisions and better serve customers and patients. Our mission is to accelerate transformation by embedding AI into everyday workflows and delivering measurable value at scale. 

Watch this before you apply! GSK Early Careers Top Tips:

Learn practical advice from GSK on how to prepare a standout application and succeed in your early careers journey: GSK Early Careers Top Tips

Job Description

The AI Portfolio Co-op will support the AI Capabilities & Enablement (AiCE) team in managing and advancing a portfolio of AI, analytics, and digital transformation initiatives that enhance business performance and user experience across field, marketing, and commercial functions. This role provides a unique opportunity to gain exposure to AI product strategy, portfolio management, capability enablement, and organizational transformation within a fast-paced healthcare environment.

The co-op will assist with portfolio planning, project tracking, and governance activities across multiple AI and GenAI initiatives, helping ensure priorities, milestones, dependencies, risks, and business outcomes are effectively documented and communicated. They will support the development of executive-ready materials, roadmaps, status updates, and reporting artifacts that provide visibility into portfolio health and strategic progress.

Working cross-functionally with product managers, data scientists, technology teams, marketing partners, field enablement leaders, and business stakeholders, the co-op will help coordinate project activities, gather requirements, document business needs, and support launch readiness efforts for emerging AI capabilities. They will also contribute to change management and adoption initiatives by helping develop communications, training materials, and stakeholder engagement plans that drive awareness and utilization of AI solutions.

Additionally, the co-op will assist in analyzing portfolio performance metrics, user feedback, and adoption trends to identify opportunities for optimization, continuous improvement, and future investment. By combining analytical thinking, organization, and strategic problem-solving, the AI Portfolio Co-op will play an important role in helping AiCE scale AI-powered capabilities that enable smarter decisions, improved productivity, and greater business impact.

Minimum Qualifications
  • Pursuing a Bachelor's or Master's degree in AI, Marketing, Business, Analytics, Information Systems, Data Science, Communications, or a related field.
  • Strong written and verbal communication skills, with the ability to translate ideas, insights, or technical concepts into clear, fieldready or marketingready content.
  • Demonstrated ability to collaborate across multiple teams (e.g., marketing, analytics, technology, or commercial partners).
  • Interest in Generative AI, digital tools, or emerging technologies and how they can be applied to marketing and field enablement.
  • Strong organizational skills, attention to detail, and comfort working in a fastpaced, evolving environment.
  • Ability to work in a hybrid environment, with a preference for being onsite a minimum of two days per week in the Durham, NC office.
  • Must be able to work full-time (35-40 hours per week) throughout the duration of the 6 month co-op (~October 2026 ~ April 2027).
  • Must have active student status and/or be within 12 months postgraduation from a BS or MS degree program. Postdoctoral candidates are not eligible.
Preferred Qualifications
  • Excellent communications skills-position will communicate across several business areas and levels, and must be comfortable with reducing complexity of technical answers to straight-forward language.
  • Focus on problem solving - Position will face a variety of challenges that will require unique solutions.
  • Relationship building - Position will interact with a wide variety of internal and external stakeholders, and maintaining relationships will be critical to the success of the role
  • Analytical abilities - Strong Excel skills and familiarity with utilizing tools (PowerBI) and/or languages (Python/SQL) to quickly parse large datasets to identify insights, issues, or trends.
Eligibility Requirements
  • Must successfully pass a drug screen and background check prior to assignment target start date.
  • Once your application is submitted, you will be prompted to complete our immersive GSK Digital Assessment. A passing score is required to proceed in the application process. After completing the assessment, a recruiter will review your application and contact you with next steps. 
    • Please note: We recommend using your personal email when submitting your application as school emails tend to block external senders. If you do not receive an automated email after submitting your application, be sure to check your spam folder.
  • Atrium is committed to partnering with our clients to create inclusive work environments; to that end, if you need to request an accommodation to complete this application, please reach out to GSK@atriumworks.com.

Benefits
  • While GSK embraces a flexible work environment, we do require certain positions to be onsite. Candidates who are hired for an on-site role or hybrid role, and reside outside of 50-miles from their assigned work location, are eligible for relocation stipend. This is a one-time payment to help offset housing & relocation expenses. Please refer to the position details for the requirements of each position. 
  • GSK Interns and Co-ops are offered a competitive hourly pay rate and benefits. Please note, benefits eligibility determined the month following date of hire.
  • This job posting is for a temporary role as an employee of Atrium on assignment at GSK. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on several factors, including skills, competencies, experience, educational degree obtained, location and/or being pursued and other job-related factors permitted by law.

    In addition, this role will be eligible for overtime pay, in accordance with federal and state requirement.

    • Pay Rate Range: $22/hr to $43/hr

Interested in learning more? Register now on our digital learning platform (GSK Get Ahead - Connectr) where you can access interview and assessment hints and tips, speak to a mentor and learn more about life at GSK.

Employment Type: OTHER