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Data Science Co Op Jobs in Indiana (NOW HIRING)

Landis+Gyr

Co-op - Firmware Engineering

Lafayette, IN

... data analytics. Today, our global team of about 6,300 professionals is shaping the digital energy ... The Landis+Gyr Co-op program is designed to enhance the quality and scope of learning by providing ...

Toyota

TMMI 2025 Engineering Co-op

Princeton, IN · On-site

Co-op projects can range from vehicle design, targeting cost or defect reductions, improving machine efficiency, collecting and analyzing production data, re-designing parts/components for improved ...

Batesville

Engineering Co-op (Fall 2026) - 932

Batesville, IN · On-site

$16.75 - $22/hr

This ensures each co-op is positioned for success and aligned with work that supports both their ... Collecting and analyzing data to evaluate processes, establish baselines, or identify improvement ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Zimmer Biomet

$15 - $20/hr

... the co-op session * Must be authorized to work in the U.S. without requiring employer sponsorship * Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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All JobsData Science Co Op JobsData Science Co Op Jobs in Indiana

Data Science Co Op information

See Indiana salary details

$35.7K

$116.8K

$187K

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

As of Aug 6, 2026, the average yearly pay for data science co op in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 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 Indiana? The most popular types of Data Science jobs in Indiana are:
What are popular job titles related to Data Science Co Op jobs in Indiana? For Data Science Co Op jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Co Op jobs in Indiana look for? The top searched job categories for Data Science Co Op jobs in Indiana are:
What cities in Indiana are hiring for Data Science Co Op jobs? Cities in Indiana with the most Data Science Co Op job openings:
Data Science Co Op jobs near you
Infographic showing various Data Science Co Op job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Co-op - Firmware Engineering

Landis+Gyr

Lafayette, IN

Other

Re-posted 9 days ago

Job description

At Landis+Gyr, we don't just manage energy-we lead the transformation toward a smarter and more sustainable energy future.

With a net revenue of USD 1.73 billion in FY 2024, and a presence in over 30 countries across five continents, Landis+Gyr empowers utilities and consumers to optimize energy usage through advanced metering, grid-edge intelligence, and powerful data analytics.

Today, our global team of about 6,300 professionals is shaping the digital energy era-developing innovative technologies that support decarbonization, grid modernization, and real-time energy insights. Our record USD 4.6 billion order backlog and strong book-to-bill ratio reflect long-term confidence in our mission and solutions.

Join us at Landis+Gyr, where we manage energy better! 

Welcome to Landis+Gyr!  We're at the forefront of the energy industry revolution - let's build a brighter energy future together!
The Landis+Gyr Co-op program is designed to enhance the quality and scope of learning by providing students with the option of integrating academic study with related, work-based learning.  Applicants must be enrolled in the undergraduate program and available for an alternating rotating semester schedule. Masters level students will not be considered. This first rotation begins August 2026 for the 3-semester rotation and the student will be working full-time hours Monday through Friday on-site at our Lafayette, Indiana location.  Expected graduation date should be 2028 or later to allow enough time for 3 working semesters alternating with 3 school semesters.  This is a paid position but we don't offer housing assistance so candidates local to the Lafayette, IN area are preferred. 

Project Overview

Engage with the firmware team in development activity on the Revelo Dual Comms project.  This will include hands-on development of embedded firmware, working with CICD systems working on build and test pipelines.

Student Objectives/Responsibilities

   Introduce CICD using our Gitlab environment, specifically commit, code review, smoke test, unit test and regression test.
   Complete a code review for one of the team's members commits
   Complete a user story for Revelo Dual Comms.  This will involve comprehension of requirements, code development, unit test development, code commit, responding to code review findings, responding to static analysis, build and regression test failures, and documentation.

Education/Experience

Co-op applicants must be undergraduate students working towards their Bachelors degree in Computer, Electrical or Software Engineering.  Masters level students and students with expected graduation dates before 2028 will not be considered.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We value and encourage diversity in our team. This position is open to all qualified candidates regardless of gender, race, age, disability, sexual orientation, or background. We're committed to shaping a better future for everyone. #EnergizeYourCareer and join us on our journey towards a greener tomorrow.

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