Data science apprenticeships are a great way to step into a career in tech. Apprenticeships are specifically designed to prepare individuals for a data science role by equipping them with industry-relevant skills and practical experience. They offer invaluable on-the-job training, mentorship, and a pathway to employment in the field of data science. For graduates of data science coding bootcamps or degree programs, a data science apprenticeship can be a first step to a successful career.
This guide on data science apprenticeships will explore what a data science apprenticeship program entails and what benefits it offers to graduates. It will also cover data science apprenticeship programs available as of September 2025, and tips for acquiring a data science apprenticeship.
What Is a Data Science Apprenticeship?
A data science apprenticeship is a training program that allows newcomers to the field to work alongside experienced data scientists in a professional environment to gain practical experience and hands-on skills. Data science apprenticeship jobs are paid positions that usually last around one year and often include a mix of on-the-job training and traditional classroom learning, providing valuable education for career development.
What Does a Data Science Apprentice Do?
A data science apprentice uses their burgeoning skills in statistical analysis, data visualization, artificial intelligence, and machine learning to collaborate on real-world projects as a part of a company’s data science or information technology team. They work alongside experienced professionals to gain hands-on experience in data science processes and procedures, such as data analysis and interpretation. Apprentices track their progress throughout the program to ensure continuous development and competency.
The goal of this type of role is to learn on the job and to make more meaningful contributions to the team over time through guidance and feedback. In some cases, data science apprentices are positioned to transition into full-time roles after completing their program.
Data Science Apprenticeship Programs Available in 2025
Each apprenticeship program listed below features a unique curriculum designed to meet current industry needs.
| Company | Duration | |
| Data Analyst Training Accelerator Apprenticeship Program | NYC Tech Talent Pipeline | 19 weeks |
| Data Analytics Apprenticeship Program | OpenClassrooms | 1 year |
| IT Data Analyst Apprenticeship Program | Madison College | 2 years |
| Data Analyst Apprenticeship Program | New Apprenticeship | 1 year |
Data Science Apprenticeship Programs: A Closer Look
1. Data Analyst Apprenticeship – NYC Tech Talent Pipeline
The NYC Tech Talent Pipeline’s Data Analyst Apprenticeship helps participants gain the skills needed to turn raw data into actionable insights.1 Apprentices work with tools like SQL, Python, and Tableau to clean, interpret, and visualize data.
The program includes technical training, professional development, and mentorship from industry experts. Partnering with local employers, it provides hands-on projects that prepare apprentices to solve real-world business challenges. This is a strong option for those eager to break into New York City’s fast-growing analytics job market with both technical ability and workplace readiness.
2. Data Analytics Apprenticeship – OpenClassrooms
OpenClassrooms offers a Department of Labor–registered Data Analytics Apprenticeship that combines online coursework with supervised work experience.2 Apprentices build core competencies in Python, SQL, and data visualization while also developing problem-solving and critical thinking skills.
The program is full-time and structured to meet employer needs, meaning apprentices contribute directly to workplace projects while learning. With flexible online learning and employer mentorship, participants graduate with both technical skills and transferable workplace experience. This pathway is designed for students seeking to enter the data field through a hands-on training model supported by a recognized educational provider.
3. IT Data Analyst Apprenticeship – Madison College
Madison College’s IT Data Analyst Apprenticeship blends academic learning with paid, on-the-job training.3 Over the course of the program, apprentices learn to collect, manage, and interpret business data to help organizations make informed decisions. Coursework covers areas like database management, business intelligence tools, and statistical techniques, while workplace training allows apprentices to apply these concepts in real time.
As a Wisconsin Department of Workforce Development–registered program, it ensures apprentices graduate with industry-recognized credentials. This apprenticeship is well-suited for career seekers looking for both classroom instruction and direct industry experience in a structured pathway.
4. Data Analyst Apprenticeship – New Apprenticeship
New Apprenticeship offers a Data Analyst Apprenticeship that integrates technical skill-building with professional development.4 Apprentices gain hands-on experience in SQL, Python, and visualization platforms while also developing workplace communication and project management skills.
The program emphasizes mentorship, career coaching, and employer partnerships, ensuring that apprentices are equipped not just with data skills but also with the soft skills required in today’s job market. Designed for aspiring data professionals, it provides a bridge between classroom learning and full-time employment, preparing graduates to enter the workforce with confidence and practical experience.
Data Science Apprenticeship Salary
As of September 2025, the average data science apprenticeship hourly rate in the U.S. is $23/hour according to ZipRecruiter, but this number will largely depend on what company you work for and what location your apprenticeship takes place.5 For example, as of September 2025, ZipRecruiter reports that the average rate for a data science apprentice at IBM is $52,360, or roughly $25/hour.6
Once you complete your apprenticeship and have the training and mentorship you need to start progressing in your career, you can expect to earn a comfortable salary. ZipRecruiter reveals that the national average salary for a data scientist in 2025 is $122,738.7
How to Get a Data Science Apprenticeship
Getting a data science apprenticeship job can be a challenge, as there are not many programs available, and you might be up against other passionate applicants. Luckily, there are a variety of educational resources available to help you gain the background knowledge you need to stand out to hiring managers and improve your resume. Here are some training options you can consider if you are hoping to become a data science apprentice.
1. Bootcamps
Data science bootcamps are short training programs that focus on hands-on skills and career preparedness. Bootcamps usually last between four and nine months, depending on if you attend full-time or part-time. During that period, you will learn all the data science skills you need to qualify for entry-level jobs. Most coding bootcamps also provide a range of career services.
2. Trade Schools
Trade schools are similar to coding bootcamps in that they provide hands-on training, usually with a focus on the skills you need for a specific career path. Data science trade school programs tend to include workshops, labs, and practical exercises on technical skills, and most programs last between a few months and two years.
3. Vocational Training
Vocational training can take many different forms. Colleges and universities often offer certificate programs and online courses that students can complete in less time than it takes to earn a full degree. In some cases, the credits you earn completing an undergraduate certificate can be transferred if you decide to earn a data science associate or bachelor’s degree later on.
4. Internships
Internships are the perfect way of preparing for a data science apprenticeship because they will provide you with relevant job experience as well as hands-on training. Internships are typically shorter than apprenticeships and can be easier to come by because there are more available.
Is a Data Science Apprenticeship Worth It?
A data science apprenticeship can be worth it if you are looking to start a career in this field. The mentorship and real-world experience you gain, along with the opportunity to build technical expertise, can be extremely beneficial in opening doors to higher-level positions. Even if you don’t end up getting hired by the same company you complete your apprenticeship with, the work experience can help make your resume stand out.
As of 2024, data science is a field with the potential for career growth. According to the U.S. Bureau of Labor Statistics, data scientists have a job outlook of 34 percent through 2034.8 Data science apprenticeship programs can be competitive, but the effort can certainly be worth it for the benefits and experience you’ll gain.
Data Science Apprenticeship FAQ
It can take anywhere between six months and four years to become a data scientist, depending on your chosen educational path.
With a data science degree, you can land jobs including data analyst, database administrator, statistician, network architect, and business analyst. Many data science majors also enter fields like machine learning and artificial intelligence. There are also opportunities to work with advanced techniques such as deep learning and natural language processing, which are essential for building AI solutions in areas like speech recognition, chatbots, and automated content analysis.
Data science is important in today’s society because it allows businesses and organizations of all kinds to make more informed decisions, optimize operations, and better serve their customer base. Data scientists operate across different worlds, such as business and technology, integrating diverse domains to deliver impactful solutions. The key insights data scientists are able to extract from large data sets play a vital role in new government policies, healthcare research, and scientific advancements.
The difference between data science and data analytics is that data science has a far broader scope. While data analysts typically examine existing data to identify trends and patterns, data scientists build new predictive models and machine learning algorithms, collect new data sets, and use advanced statistical methods to solve complex problems.
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Sources:
2 https://static.oc-static.com/public/uplift/en/US_Apprenticeship_path_521.pdf
3 https://madisoncollege.edu/academics/programs/it-data-analyst-apprenticeship
4 https://newapprenticeship.com/for-employers/
5 https://www.ziprecruiter.com/Salaries/Data-Science-Apprentice-Salary
7 https://www.ziprecruiter.com/Salaries/Data-Scientist-Salary
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