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Data Scientist Internship Jobs in Raleigh, NC (NOW HIRING)

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Duke University

NONDUKE STUDENT/INTERN

Durham, NC

The Community Research Collaborative Intern offers a variety of internship opportunities for students eager to explore applied research, data science, evaluation, design, and community engagement.

House-Autry Mills

Food Scientist

Four Oaks, NC · On-site

Maintain current and create new product information data sheets * Use FDA and other rules and ... strong internships or co-op experience) * Working knowledge of food chemistry, ingredient ...

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All JobsData Scientist JobsData Scientist Internship JobsData Scientist Internship Jobs in Raleigh, NC

Data Scientist Internship information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data scientist internship jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data scientist internship in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What would a data science intern do?

A data science intern assists with data collection, cleaning, and analysis using tools like Python or R. They support the development of models, generate reports, and learn industry-standard techniques under supervision to gain practical experience in data-driven decision making.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including data scientists interested in analytics and business intelligence roles within these organizations.

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.

Is 30 an hour good for an internship?

For a Data Scientist Internship, earning $30 an hour is considered above average in many regions, as internships typically pay between minimum wage and $20 per hour. This rate may reflect strong skills in programming, data analysis, and familiarity with tools like Python or R. However, pay standards vary by location and company size, so it's important to compare with local market rates and internship expectations.

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 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 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.

Which internship is best for data science students?

The best internship for data science students typically offers hands-on experience with data analysis, machine learning, and programming tools like Python or R. Look for programs that provide mentorship, real-world projects, and opportunities to develop skills in data visualization and statistical modeling.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To excel as a Data Scientist Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, often supported by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and explain insights to diverse audiences. These skills enable interns to contribute meaningfully to projects, bridge technical and business goals, and accelerate their learning in a real-world data science environment.
More about Data Scientist Internship jobs
What are the most commonly searched types of Data Scientist jobs in Raleigh, NC? The most popular types of Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Data Scientist Internship jobs in Raleigh, NC? For Data Scientist Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Scientist Internship jobs in Raleigh, NC look for? The top searched job categories for Data Scientist Internship jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Scientist Internship jobs? Cities near Raleigh, NC with the most Data Scientist Internship job openings:
Data Scientist Internship jobs near you
Infographic showing various Data Scientist Internship job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Food Scientist Internship

Carolina CoPacking

Henderson, NC • On-site

Full-time

Posted 5 days ago

Job description

Food Scientist Intern
We are seeking a dynamic and forward-thinking food scientist intern who can assist our team of food scientist department in developing and refining formulations for our current and future products. You will have the opportunity to explore many creative avenues within the world of food science. You will assist in scaling up recipes, calculating percentages/ratios with ingredients, as well as communicating with our customers regarding the initial recipe, pricing information and sampling.
For you to succeed in this role, you must be able to interpret and apply findings as needed and take direction from our management in the Food Science team and work closely with other departments, and customers. We are looking for individuals who are team players and share our unwavering passion for product development and enabling you to discover and explore your own skills for your journey in the Food Science industry.
Food Scientist Intern Responsibilities:
  • Exploring innovative manufacturing methods to reduce costs while meeting customer and regulatory requirements.
  • Liaising with relevant stakeholders to address concerns about food quality and safety.
  • Able to learn advanced formulation software to create and maintain formulations.
  • Exploring pivotal functions in bringing new products to life, from conceptualization to successful launch.
  • Coordinating the arrangement and shipment of sales samples.
  • Updating product information sheets and labels for effective sales presentation.
  • Accurately recording, analyzing, and summarizing research data for informed decision-making.
  • Collaborating with independent laboratories for comprehensive testing.
  • Maintaining and organizing data collection within our file management systems.
  • Ensuring strict compliance with GMP and other safety regulations.
  • Performing any additional duties assigned by the supervisor.

Food Scientist Intern Requirements:
  • Currently enrolled in an academic program for Food Science and or Food Engineering.
  • Ability to utilize both internal and external sources to drive technical scientific advancements.
  • Demonstrated proficiency in laboratory work.
  • Sound knowledge and understanding of food data science.
  • Exceptional verbal and written communication skills.
  • Flexibility to travel overnight and work night and weekend shifts for special projects.

Apply