1

Internship Graduate Machine Learning Jobs in Iowa

Job Type Internship Description Feed Energy is seeking a motivated and curious AI & Data Intern to ... Exploring machine learning models * Assisting with predictive analytics projects * Testing and ...

Coordinates programs and resources that prepare students for internships, graduate school, and careers, while partnering with faculty, staff, and community partners to connect classroom learning with ...

Data Science Tutor

Ames, IA ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... graduate programs. * Conceptual Teaching & Problem-Solving: Skilled at teaching the full data ...

Data Science Tutor

Iowa City, IA ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... graduate programs. * Conceptual Teaching & Problem-Solving: Skilled at teaching the full data ...

Showing results 21-40

Internship Graduate Machine Learning information

What is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

Infographic showing various Internship Graduate Machine Learning job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Master's Level Clinical Intern

Prairie Ridge Integrated Behavioral Healthcare is open to a Master's Level Clinical Interns who are nearing completion of their graduate program and ready to gain meaningful, hands-on clinical experience. This practicum and internship experience will provide the opportunity to apply classroom learning in a real-world behavioral health setting while working alongside experienced clinicians.

Interns will participate in assessment, counseling, and treatment services while receiving structured supervision, training, and mentorship to support the development of clinical skills and preparation for professional licensure. Prairie Ridge is committed to helping emerging clinicians build confidence and begin their careers making a difference in the communities we serve.

Tasks and Responsibilities

  • Treat all individuals with dignity and respect while maintaining agency standards of confidentiality, professionalism, and objectivity.
  • Obtain tCADC credential through the Iowa Board of Certification within 90 days of start of internship as applicable and consistent with internship and licensure requirements (fees related to this credentialing process are covered by the agency).
  • Provide intervention, evaluation/assessment, individual, group and family counseling to individuals affected by behavioral health conditions to include all outpatient treatment programs.
  • Develop and maintain a community referral network.
  • Assume 24 hour on-call duty once every staff rotation as needed.
  • Maintain all regulatory, contract and documentation standards and data collection, and complete necessary documentation in a timely manner.
  • Consistent collaboration and coordination of care between all Prairie Ridge services, including, but not limited to IHH and other services.
  • Develop and maintain a working knowledge of all documentation and reporting systems to include all state and national reporting systems, Accreditation Now, MyOutcomes, and Electronic Health Record (EMR Bear), and any others as assigned.
  • Attend monthly staff consultation, weekly site supervision as required by internship program, weekly or biweekly training and supervision with direct Clinical Supervisor (if different from Site Supervisor), and training activities as scheduled by the agency. Participate in structured learning, training, and supervision activities designed to support completion of academic field experience requirements and development of clinical competencies at the master's level.
  • Proficiency in clinical practices identified as best practice by the agency demonstrated through supervision and direct observation.
  • Demonstrate understanding and adherence to all CARF policies and procedures.
  • Perform other duties as assigned by supervisor.

Qualifications

  • For clinicians treating individuals with a primary mental health diagnosis, a minimum of a BA degree behavioral healthcare or related field is required, as well as admission in a program working towards a master's or other accredited licensure program as an LMFT, LMHC, LMSW, or LISW.
  • Understanding of the mission of Prairie Ridge and the patients we work with.
  • Proficiency in oral and written communication skills, as well as record keeping.
  • Technology skills allowing for proficiency in use of electronic health record.
  • Physical demands: The employee may frequently lift and moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.

Please note: Prairie Ridge values the opportunity to support students entering the behavioral health field; however, intern placements depend on supervisor availability and agency capacity, so we may not always have space to host an intern each semester.

Students seeking a bachelor's level internship are welcome to reach out to Prairie Ridge Human Resources at rherman@prairieridge.net. While bachelor's level internships may occasionally be available, Prairie Ridge does not regularly have openings for those placements.