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Data Science Intern Jobs (NOW HIRING)

The Generative AI & Data Science Intern will work closely with our team to create and deploy predictive AI models and GenAI solutions to support all areas of the business, including R&D, Finance ...

The Generative AI & Data Science Intern will work closely with our team to create and deploy predictive AI models and GenAI solutions to support all areas of the business, including R&D, Finance ...

Data Science Intern

Charlotte, NC · On-site

$60 - $80/hr

Data Science Intern What you will be doing: This position will have responsibility for supporting the data scientist team with product development and model research and development. Apply knowledge ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting the data scientist team with product development and model research and development. Apply knowledge ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting the data scientist team with product development and model research and development. Apply knowledge ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting the data scientist team with product development and model research and development. Apply knowledge ...

Data Science Intern

Menlo Park, CA · On-site

$100 - $125/hr

As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data‐driven insight ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities Assist in designing, building, and testing machine ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities * Assist in designing, building, and testing machine ...

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

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How much do data science intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.
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Infographic showing various Data Science Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

AI & Data Science Intern

Remote

The Chemours Company
Chemical Manufacturing • 5 - 10K employees

Full-time

Life, Retirement

Posted 13 days ago


Chemours rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

65th of 104 rated chemical manufacturers


Job description

As we create a colorful, capable and cleaner world through chemistry, we invite you to join our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world.
CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS
At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry.
Powered by chemistry, our products are used in applications that make the products we rely on, processes, and new technologies possible. In key sectors such as clean energy, advanced electronics, high-performance computing and AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial infrastructure---sustainable solutions and more modern living depend on Chemours chemistry.
Chemours is seeking a Generative AI and Data Science Intern to join our AI & Data Science team! This position will report directly to a senior AI & Data Science Team Member.
The Generative AI & Data Science Intern will work closely with our team to create and deploy predictive AI models and GenAI solutions to support all areas of the business, including R&D, Finance, Manufacturing, Legal, and Environment/Safety functions of the company.
  • Location: Wilmington, Delaware (remote work possible for outstanding candidates, who must be able to comfortably work 8am-5pm East Coast Time)
  • Hours: Full-time schedule of 40 hours per week (must not be enrolled in coursework at the same time as interning)
  • Preferred Start Date: ROLLING ADMISSIONS - We will host 1-3 interns at all times throughout the year.
  • Preferred duration of work: At least 6 continuous months

The responsibilities of the position include, but are not limited to, the following:
  • Develop predictive models using tools in the Azure platform (eg. Microsoft Fabric, Azure ML Studio, etc.)
  • Write data preparation and analysis routines in Python using the pandas and scikit-learn packages
  • Participate in dataset design and statistical modeling discussions
  • Integrate process control solutions with data science models
  • Design and deploy GenAI solutions and apps into production enterprise environments
  • Collaborate on full-stack development for small applications and efficient UI/UX workflow building
  • Apply and share best practices for designing and delivering GenAI hybrid search

Specific examples of exciting projects that you could work on:
  • Establish evaluations & improve accuracy of a GenAI model that is being used to extract chemical property information (eg. boiling point) from millions of pages of literature
  • Establish evaluations & enhance accuracy & relevance metrics of a hybrid search + RAG GenAI model used to query Operations & Safety procedures
  • Use your ML experience to evaluate which approach (model + tuning) works best to predict chemical properties of a compound (eg. flammability)
  • Gather UX requirements, and build a front-end/UI (using React, Flask, or Streamlit) for the Legal team to make it easy for non-technical users to process a high volume of documents using our custom GPT/ GenAI script.
  • Design multi-agent systems that break down complex user requests into smaller, actionable subtasks to improve answer quality and adherence to guardrails

The following is required for this role:
  • Enrollment at an accredited college or university pursuing or have recently completed a Bachelor's, Master's, PhD, or Post-Doctoral degree in Data Science, Computer Science, AI, Software Engineering, Computational Chemistry, or other a very similar field to those
  • 2+ years of programming experience with Python including experience using pandas and scikit-learn packages
  • 1+ year practical experience in data science building predictive ML models (e.g. having done feature selection and engineering, model selection and hyperparameter tuning, data cleansing, data analysis); typical use cases will involve working with time-series data and/or chemical properties to make predictions AND/OR 1+ yr practical experience developing GenAI applications (using RAG, hybrid search, building UI for applications, etc.)
  • Fast learner and strong collaborator, who can work efficiently with high output
  • Strong communication skills with the ability to present findings to a non-technical audience

The following is preferred for this role:
  • Currently enrolled in or who have completed a Master's, PhD, or Post-Doctoral program
  • Ability to continue for 6+ months
  • Candidates with prior experience working in Enterprise environments at other companies, especially building and deploying apps and GenAI agents into production using platforms such as Azure, Google Cloud, or AWS (for reference: primary tools in our environment would be Python, Azure OpenAI, Azure ML Studio, Microsoft Fabric, HTML, Visual Studio Code, Chainlit, JavaScript, Streamlit, SQL database).
  • Minimum GPA of 3.0 or above
  • High proficiency in analytical, quantitative, and problem-solving capabilities
  • Strong leadership qualities in taking initiative to drive results
  • Motivation to tackle complex, real-life business problems and build a robust professional resume

Benefits:
Competitive Compensation
Comprehensive Benefits Packages
401(k) Match
Employee Stock Purchase Program
Tuition Reimbursement
Commuter Benefits
Learning and Development Opportunities
Strong Inclusion and Diversity Initiatives
Company-paid Volunteer Day
We're a different kind of chemistry company because we see our people as our biggest assets. Instead of focusing just on what our employees do each day, we look at how they do it-by taking a different approach to talent development, employee engagement, and culture. Our goal is to empower employees to be their best selves, at Chemours and in life.
Learn more about Chemours and our culture by visiting Chemours.com/careers.
Chemours is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, religion, color, gender, disability, national or ethnic origin, ancestry, marital status, family status, sexual orientation, gender identity or expression, or veteran status. Jurisdictions may have additional grounds for non-discrimination, and we comply with all applicable laws.
Chemours is an E-Verify employer
Candidates must be able to perform all duties listed with or without accommodation
Immigration sponsorship (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) is not currently available for this position
Don't meet every single requirement? At Chemours we are dedicated to building a diverse, inclusive, and authentic workplace for our employees. So if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the position description, we encourage you to apply anyways. You may just be the right candidate for this or other opportunities.
At Chemours, you will find sustainability in our vision, our business and your future. If you want to work on the leading edge of your field and have a desire to make a difference, join Chemours and discover what it means when we say "We Are Living Chemistry".

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About Chemours

Sourced by ZipRecruiter

From the frontline to the back office, every Chemours employee is part of something bigger than themselves as together we work to create a better world through the power of our chemistry. Chemours is a $6.3 billion company with a portfolio of products and processes that enable technologies and products that people use every day in their lives. From cellular phones to lower emission vehicles, to 5G communications and clean energy from hydrogen, we're collaborating with customers to make these innovations more capable. Simply said, we use our chemistry to change lives, shape markets, and redefine industries-one improvement at a time.

Industry

Chemical manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Wilmington, DE, US

Year founded

2015

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