A curated selection of paid internship opportunities specifically designed for data science students with little to no professional experience. These programs offer structured training, mentorship, and competitive compensation, helping entry-level candidates build foundational skills and launch their careers in tech and analytics.
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A paid, 12-week program for students to work on real software engineering and data projects. It provides mentorship from senior engineers, flexible scheduling, and is open to students with varying levels of prior experience, focusing on skill development.
IBM offers paid internships for students interested in data science, artificial intelligence, and cloud technologies. The program includes hands-on project work, mentorship from industry experts, and opportunities to learn about enterprise data solutions without requiring prior professional experience.
Microsoft provides paid summer internships for data science and engineering students. Participants work on impactful projects within teams like Azure, Office, or Machine Learning, receiving comprehensive training and career guidance suitable for those new to the field.
Meta offers paid internships for students interested in data science and software engineering. The program includes immersive training, mentorship, and exposure to large-scale data challenges, welcoming applicants with strong academic foundations but minimal prior work experience.
Amazon offers paid internship opportunities for students interested in machine learning and data science. Participants engage in real-world projects, receive mentorship from AWS experts, and benefit from training designed to build skills from the ground up.
Salesforce provides paid internships for students in data science and engineering roles. The program emphasizes learning through doing, offering mentorship and access to the Salesforce ecosystem, ideal for students seeking to enter the field without prior professional experience.
Twitter offers paid internships for students interested in data science, machine learning, and backend engineering. Interns work on critical infrastructure and data projects, receiving mentorship and training suitable for those beginning their professional journey.
Netflix provides paid summer internships for data science and engineering students. While competitive, the program welcomes students with strong academic records and a passion for data, offering unique exposure to Netflix’s recommendation algorithms and data-driven culture.
Spotify offers paid internships for data science students interested in music analytics and user behavior. The role involves working with large datasets to drive product decisions, providing valuable experience for those new to the industry.
Uber provides paid internships for data science and engineering students. Participants work on projects related to mobility, food delivery, and freight, receiving mentorship and training that helps build practical skills in data analysis and machine learning.
Lyft offers paid internships for data science students interested in transportation analytics. Interns collaborate with cross-functional teams to analyze rider and driver data, gaining hands-on experience in a dynamic and data-centric environment.
Stripe provides paid internships for students interested in payments, data science, and infrastructure. The program offers mentorship and exposure to high-scale data systems, suitable for students looking to apply their academic knowledge in a real-world setting.
Airbnb offers paid internships for data science and engineering students. Participants work on projects that improve user experience and marketplace efficiency, receiving training and mentorship from experienced professionals in the travel tech sector.
DoorDash provides paid internships for students interested in data science, machine learning, and software engineering. Interns tackle challenges in logistics and delivery optimization, gaining valuable experience in a fast-paced tech environment.
LinkedIn offers paid internships for data science and engineering students. The role involves working on features that enhance professional networking and data insights, providing mentorship and training ideal for entry-level candidates.
Adobe provides paid internships for students in data science, machine learning, and engineering. Interns work on creative cloud tools and data analytics projects, receiving mentorship and exposure to industry-leading software development practices.
Oracle offers paid internships for students interested in cloud computing and data science. Participants work on cloud infrastructure and data services, receiving training and mentorship from experts in enterprise technology solutions.
Intel provides paid internships for data science and engineering students. The program includes hands-on project work in hardware-software integration and data analytics, offering mentorship and career development opportunities for beginners.
Qualcomm offers paid internships for students in data science, machine learning, and engineering. Interns work on mobile technologies and data-driven solutions, receiving training and mentorship from industry experts in the semiconductor field.
Cisco provides paid internships for data science and engineering students. Participants work on network analytics and security data projects, gaining practical experience and mentorship in a global technology leadership company.