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Internship Public Policy Data Science Jobs in Michigan

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

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Internship Public Policy Data Science information

What is an internship in public policy data science?

An Internship in Public Policy Data Science is a temporary position where students or recent graduates work with organizations to analyze data and provide insights relevant to public policy issues. Interns typically use statistical tools, programming languages, and analytical methods to inform policy decisions in areas like healthcare, education, or the environment. This role offers hands-on experience in both data science and policy analysis, helping interns develop valuable skills for careers in government, non-profits, or consulting. Interns may work on real-world projects such as evaluating policy impacts, visualizing data trends, or supporting research efforts.

How does an internship in public policy data science typically contribute to real-world policy projects within an organization?

As an intern in Public Policy Data Science, you will often work on analyzing large datasets to support evidence-based policy-making. Interns commonly assist in gathering, cleaning, and visualizing data, as well as developing reports or presentations for policy stakeholders. You may collaborate closely with policy analysts, data scientists, and subject matter experts, contributing your technical skills to ongoing projects that address real community or governmental challenges. This hands-on experience not only builds your technical expertise but also provides valuable insights into the policy-making process and how data informs impactful decisions.

What are the key skills and qualifications needed to thrive as an internship in public policy data science?

To thrive as an Internship Public Policy Data Science professional, you typically need foundational knowledge in statistics, data analysis, and public policy, often supported by coursework or a degree in data science, economics, or a related field. Proficiency in tools such as Python or R, data visualization software, and familiarity with databases like SQL are highly valued. Strong communication, critical thinking, and teamwork skills help you present findings effectively and collaborate on policy projects. These skills are crucial for analyzing complex data, informing policy decisions, and contributing to impactful public sector solutions.

What is the difference between Internship Public Policy Data Science vs Public Policy Analyst?

AspectInternship Public Policy Data SciencePublic Policy Analyst
Required CredentialsTypically students or recent graduates, some technical skills in data science or statisticsBachelor's or master's in public policy, political science, or related fields
Work EnvironmentInternship setting, often in government agencies, NGOs, or research institutionsFull-time roles in government, think tanks, or advocacy organizations
Employer & Industry UsageUsed for gaining experience in data-driven policy analysisUsed for developing policy recommendations and analysis

Internship Public Policy Data Science focuses on gaining practical experience in data analysis within public policy contexts, often involving technical skills. Public Policy Analysts conduct comprehensive policy research and develop recommendations. While internships are temporary and entry-level, analysts hold full-time roles with broader responsibilities.

What are popular job titles related to Internship Public Policy Data Science jobs in Michigan?

For Internship Public Policy Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Internship Public Policy Data Science jobs in Michigan look for?

The top searched job categories for Internship Public Policy Data Science jobs in Michigan are:

Infographic showing various Internship Public Policy Data Science job openings in Michigan as of June 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Professor of Public Policy, Racial Justice in Science and Technology Policy

University of Michigan

Ann Arbor, MI • On-site

Full-time

Re-posted 2 days ago


University Of Michigan rating

8.0

Company rating: 8.0 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities


Job description

Description
The Gerald R. Ford School of Public Policy at the University of Michigan invites applications from well-qualified individuals for a tenure-track or tenured faculty position focused on racial justice in science and technology policy. Applicants should have expertise focused on structural and other forms of racism in science, technology, and associated policies, and interest in how the tools of public policy and democracy can be used to create racially just and equitable science and technology and/or how science and technology can be wielded to address structural racism. Applications are welcome from a range of fields, including information studies, sociology, science and technology studies, science and technology policy, computer and data science, natural, biological and physical science and engineering, law, communications, African American studies, ethnic studies, anthropology, and history, with particular interest in candidates whose work transcends traditional disciplinary boundaries.
The position will have a university year appointment. The Ford School is committed to attracting and retaining a distinguished and diverse faculty. Successful candidates must demonstrate a record of research excellence appropriate to their rank; ability and willingness to teach core and elective courses in undergraduate, master and PhD degree programs in public policy; interest in public and policy engagement; and a keen interest in interacting with students, faculty, staff, and policy practitioners in an interdisciplinary professional school environment. The new position will become a core faculty member in the Ford School's Science, Technology, and Public Policy (STPP) Program, an interdisciplinary, university-wide research, education, and public and policy engagement center. We are open to negotiating joint appointments with other units at the university, such as the School of Information, Stamps School of Art and Design, College of Engineering, and the College of Literature, Science, and the Arts.
This position is part of a new faculty cluster focused on Racial Justice and Technology, and will include three faculty from the Ford School, the School of Information, and Stamps School of Art and Design, with additional support for cross-school collaborations within the cluster. The cluster is part of a university-wide faculty hiring initiative in anti-racism. Over the next three years, the university will hire at least 20 faculty members with scholarly expertise in racial inequality and structural racism.
Qualifications
Applicants should have expertise focused on structural and other forms of racism in science, technology, and associated policies, and interest in how the tools of public policy and democracy can be used to create racially just and equitable science and technology and/or how science and technology can be wielded to address structural racism.
Successful candidates must demonstrate a record of research excellence appropriate to their rank; ability and willingness to teach core and elective courses in undergraduate, master and PhD degree programs in public policy; interest in public and policy engagement; and a keen interest in interacting with students, faculty, staff, and policy practitioners in an interdisciplinary professional school environment.
Application Instructions
First consideration will be given to applications received by November 1, 2022, but applications will be considered until the position has been filled. Interested applicants may upload their application materials to: http://apply.interfolio.com/114157. The following application materials are required: a letter of interest, curriculum vitae, statements of research and teaching interests, one article-length writing sample, the names of three references, and a statement describing how your work contributes to the Ford School's and University of Michigan's strategic commitment to diversity, equity and inclusion. (fordschool.umich.edu/dei)

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Year founded

1817

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