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Co Op Data Science Student Jobs (NOW HIRING)

$112K - $134K/yr

Your role and responsibilities During your Co-Op, you can build data science and AI skills by contributing to client projects that use statistics, machine learning, data science, GenAI, and agentic ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Students must be working toward a bachelor's degree in Computer Science, Computer Engineering, or a ... Working with large, complex data sets and developing a working knowledge of Auto-Owners data ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Students must be working toward a bachelor's degree in Computer Science, Computer Engineering, or a ... Working with large, complex data sets and developing a working knowledge of Auto-Owners data ...

Kettering Co-op

Grand Rapids, MI · On-site

$18.50 - $24.25/hr

Students must be working toward a bachelor's degree in Computer Science, Computer Engineering, or a ... Working with large, complex data sets and developing a working knowledge of Auto-Owners data ...

The Data Science Intern will support the Data Science team in developing and applying statistical and machine learning models to generate actionable insights that drive value across Campbell?s ...

IT Co-Op- IUS

New Albany, IN · On-site

$14 - $18.50/hr

... AI/ML, data science, infrastructure systems, and software development meet key areas of ... student expertise.

IT Co-Op- IUS

New Albany, IN · On-site

$14 - $18.50/hr

... AI/ML, data science, infrastructure systems, and software development meet key areas of ... student expertise.

Co-op Student

Cass City, MI · On-site

$13.25 - $16.75/hr

Working knowledge of computers and data processing. Responsibilities: The primary purpose of the position as a Co-op Student is to perform assigned administrative duties in an efficient, accurate ...

Showing results 41-60

Co Op Data Science Student information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Sep 10, 2026, the average yearly pay for co op data science student in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a co op data science student?

Co-Op Data Science Students are university students who participate in cooperative education programs that combine academic coursework with hands-on work experience in the field of data science. These students work for companies or organizations as part of their degree program, applying classroom knowledge to real-world data projects under the supervision of experienced professionals. The co-op experience helps students gain practical skills, build professional networks, and better understand the day-to-day responsibilities of data scientists. Typically, these positions are temporary and align with academic terms, lasting several months at a time.

What types of projects or tasks can a co op data science student expect to work on during their placement?

As a Co Op Data Science Student, you can expect to work on a variety of projects that support the data team, such as cleaning and analyzing datasets, building predictive models, and creating data visualizations to communicate findings. You may also assist in preparing reports or dashboards for business stakeholders and participate in regular team meetings to discuss project progress. Collaboration with data engineers, analysts, and business teams is common, giving you valuable exposure to real-world data workflows and cross-functional teamwork.

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

To thrive as a Co Op Data Science Student, you need foundational knowledge in statistics, programming (especially Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL, and machine learning libraries such as scikit-learn or TensorFlow is often expected. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate with teams and translate data insights into actionable recommendations. These competencies are crucial for applying classroom learning to real-world projects and contributing meaningfully to data-driven decision-making.

What is the difference between Co Op Data Science Student vs Data Analyst Intern?

AspectCo Op Data Science StudentData Analyst Intern
Required CredentialsEnrolled in a related degree program, basic programming skillsEnrolled in or recent graduate of a relevant degree, some technical skills
Work EnvironmentAcademic institution or company, project-based learningCorporate or organization setting, supporting data analysis tasks
Employer & Industry UsageUniversities, tech companies, startupsBusiness, finance, healthcare, retail
Common Search & ComparisonOften searched by students exploring internships in data scienceCompared for entry-level data analysis roles

The Co Op Data Science Student typically is a student gaining practical experience during their studies, focusing on learning and supporting data science projects. In contrast, a Data Analyst Intern may have more specific data analysis responsibilities within a company. Both roles serve as entry points into the data industry but differ mainly in their focus and work environment.

More about Co Op Data Science Student jobs

What cities are hiring for Co Op Data Science Student jobs?

Cities with the most Co Op Data Science Student job openings:

What are the most commonly searched types of Data Science Student jobs?

The most popular types of Data Science Student jobs are:

What states have the most Co Op Data Science Student jobs?

States with the most job openings for Co Op Data Science Student jobs include:

Infographic showing various Co Op Data Science Student job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Co-Op Data Engineer - Data Services 2027

IBM
IT Services • 10K+ employees

$112K - $134K/yr

Full-time

Posted 8 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz


Job description

Introduction

Launch your career like an IBMer

Every IBMer has a story. For many, it started with an internship. As an IBM intern, you won’t just gain experience - you’ll start thinking, working, and growing like an IBMer.

From day one, you’ll contribute to real client projects across diverse industries, including analytics, AI adoption, generative AI, and agentic AI-enabled transformation, working alongside experienced IBMers who are invested in your success. You’ll be challenged, supported, and inspired, often all in the same day. You’ll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM’s Associate Program, launching careers at one of the world’s most innovative technology and consulting companies.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it’s the best way to get a centralized view of which roles you have active applications against.

Your role and responsibilities

During your Co-Op, you can build data science and AI skills by contributing to client projects that use statistics, machine learning, data science, GenAI, and agentic AI solution patterns. This role provides an opportunity to build a compelling portfolio, acquire new skills, gain insight into diverse industries, and contribute to client-ready analytical and AI solution components with guidance from IBM teams. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you’ll strengthen technical, analytical, and consulting skills while learning responsible AI practices, and you could advance to our full-time Associates program based on results and performance.

Support strategic consulting initiatives focused on Enterprise Application Integration (EAI). Assist in analyzing business processes, integration challenges, and technology strategies while working with consultants and stakeholders to identify opportunities for improving business outcomes through connected systems and digital transformation.

Key Responsibilities:

  • Conduct research on integration trends, APIs, middleware, cloud platforms, and emerging technologies.
  • Support assessments of business processes and application landscapes.
  • Assist in developing strategy recommendations, presentations, and client deliverables.
  • Analyze data and identify integration opportunities across enterprise systems.
  • Participate in workshops, stakeholder interviews, and requirements gathering sessions.
  • Contribute to business cases, roadmaps, and transformation strategies.
  • Support project planning and change management activities.
  • Co-op Schedule: Year-long co-op at Penn State University Park, starting May 2027; up to 20 hrs/week during classes and 40 hrs/week during academic breaks.

Required education

High School Diploma/GED

Preferred education

Bachelor’s Degree

Required technical and professional expertise

  • Pursuing a degree in Business, Information Systems, Computer Science, Engineering, or related field.
  • Strong analytical and problem-solving skills.
  • Interest in digital transformation, enterprise architecture, and integration technologies.
  • Excellent communication and presentation abilities.
  • Familiarity with cloud, APIs, data integration, or enterprise applications is preferred.
  • Core Competencies: Strategic Thinking, Business Analysis, Collaboration, Research, Communication, Adaptability
  • Ability to work up to 20 hours per week when classes are in session (fall/spring semesters) and up to 40 hours per week during academic breaks (e.g., summer).

Preferred technical and professional experience

  • Can understand clients’ needs and challenges, applying a creative and logical approach to identify solutions.
  • Demonstrate foundational quantitative analysis skills and ability to develop data driven recommendations.
  • Exposure to one of the following programming technologies (e.g., JavaScript, HTML, XML, SQL) is a plus.
  • Exposure to Cloud native projects (academic, personal, or internship count); Agile ways of working (ambiguous requirements, evolving scope); Programming (read, debug, and explain code).
  • Exposure to Microservices architect and cloud platforms (Azure, AWS).
  • Exposure to cloud and AI concepts such as Azure services, data platforms, security, and AI models through coursework, labs, internships, or personal projects, with a willingness to keep learning.
  • Exposure to tools like Copilot, ChatGPT, or similar AI assistants to research, write, analyze, and improve productivity, while applying critical thinking and validation.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.

We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Co-Op Data Engineer 2027

Date posted

13-Aug-2026

Job ID

128562

City / Township / Village

University Park

State / Province

Pennsylvania

Country

United States

Work arrangement

Onsite

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

48,540.00

Projected Maximum Salary per year

88,990.00

Position type

Internship

Travel required

Up to 100% or 5 days a week (home on weekends - based on project requirements)

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No


What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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