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Data Scientist Internship Jobs in Iowa (NOW HIRING)

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

New

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

New

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

New

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

New

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

New

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Showing results 1-20

Data Scientist Internship information

See Iowa salary details

$43.2K

$155K

$228.7K

How much do data scientist internship jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data scientist internship in Iowa is $154,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,400.00 and $159,700.00 per year, depending on experience, location, and employer.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What do you do as a data scientist internship?

A data scientist intern assists in analyzing data, developing models, and generating insights to support business decisions. They often work with tools like Python, R, or SQL and may be involved in data cleaning, visualization, and reporting under supervision. The internship provides practical experience in data analysis and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Iowa?

The most popular types of Data Scientist jobs in Iowa are:

What are popular job titles related to Data Scientist Internship jobs in Iowa?

For Data Scientist Internship jobs in Iowa, the most frequently searched job titles are:

Infographic showing various Data Scientist Internship job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $154,996 per year, or $74.5 per hour.

Food Scientist Internship

Grainwell Puffed Grains

Dyersville, IA • On-site

Other

Posted 3 days ago

New


Key responsibilities

  • Assist with research and development projects related to puffed grain products and ingredients.

  • Prepare samples for product development trials, participate in plant trials, and document observations and production data.

  • Conduct basic product testing and assist with ingredient evaluations and functionality testing.


Job description

Grainwell is a privately-owned ingredient, inclusion, and finished goods manufacturer primarily supplying the cereal, granola, nutritional bar, and snack categories. We manufacture a variety of puffed products made from single ingredients, including ancient and traditional grains.


Located in Dyersville, IA, our brand new 100,000 sq ft facility is where Grainwell manufactures a range of innovative puffed products using state-of-the-art, all-new puffing and support systems such as air compressors and steam generators. As the only facility of its kind in North America, we are poised for significant growth in the "good for you" food sector. If you're seeking a challenge and want to contribute to our expanding company, join our team to experience personal growth as we build our future together.


Job Purpose:

This internship offers an excellent opportunity for students pursuing a degree in Food Science, Food Engineering, or a related field to gain practical experience in product development, ingredient functionality, food processing, and quality evaluation within a manufacturing environment.

The ideal candidate enjoys problem-solving, learning through experimentation, and working both in the office and on the production floor.


Duties & Responsibilities:

·       Maintain a positive attitude at all times.  

·       Assist with research and development projects related to puffed grain products and ingredients.

·       Apply background knowledge of raw material harvesting and variability.

·       Prepare samples for product development trials and customer evaluations.

·       Participate in plant trials, document observations, and collect production data.

·       Conduct basic product testing, including moisture, density, texture, color, and other physical characteristics.

·       Assist with ingredient evaluations and functionality testing.

·       Maintain detailed records of experiments, formulations, and trial results.

·       Support continuous improvement initiatives involving manufacturing processes and product quality.

·       Help organize and maintain the R&D laboratory and sample inventory.

·       Collaborate with Quality Assurance, Production, and Operations teams on cross-functional projects.

·       Follow all food safety, quality, sanitation, and workplace safety procedures.

·       Perform other duties and special projects as assigned.


Qualifications:

·       High School diploma or equivalent required.

·       Currently pursuing a Bachelor's degree in:

o  Food Science

o  Food Science & Technology

o  Food Engineering

o  Agricultural Engineering

o  or a related scientific field

·       Strong organizational and communication skills.

·       Ability to work independently while contributing to a team environment.

·       Proficiency with Microsoft Office (Teams, Excel, Word, Outlook).

·       Ability to work in a manufacturing environment.


Bonus Qualifications:

·       Previous laboratory or food manufacturing experience.

·       Interest in cereal grains, ingredient functionality, or food processing.

·       Experience with data collection and analysis.

·       Knowledge of GMPs, HACCP, or food safety principles.


Working Conditions:

·       Shift based working hours.

·       Primarily an indoor work environment.

·       Exposure to hot parts on equipment.

·       May involve exposure to cleaning chemicals and allergens.

·       May be exposed to loud sounds and distracting noise levels, such as production equipment.


Physical Requirements:

·       Ability to stand and walk throughout the production facility.

·       Ability to occasionally lift up to 30 pounds.

·       Comfortable working in both office and manufacturing environments.

·       Must be able to wear required personal protective equipment (PPE).


What You'll Learn:

During this internship, you'll gain exposure to:

·       Product formulation and development

·       Food processing and puffing technologies

·       Steam systems

·       Ingredient functionality

·       Manufacturing operations

·       Food quality and sensory evaluation

·       Food safety and quality systems

·       Product commercialization

·       Data collection and experimental design

·       Cross-functional collaboration within a manufacturing environment