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Machine Learning Graph Data Science Intern
1 week ago
At Jabil we strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. We are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, manufacturing, and supply chain solutions. With over 50 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.
Summary of ProgramJabil's Summer Internship Program in St. Petersburg Florida was recognized as one of the Top 100 Internship Programs in the country for 2023 by WayUp. This is the result of a holistic and engaging experience that summer interns at Jabil in St. Pete experienced. As a result, interns that are a part of this program for summer 2024 will get to engage with members of Jabil's leadership team and participate in events related to professional development, networking & socializing, and community engagement. In addition, interns will have the opportunity to work with each other in committees, be assigned a Peer Partner (e.g., mentor), tour some of Jabil's facilities and much more
Intern Duties & ResponsibilitiesJoin our dynamic JemsAI team this summer at Jabil to gain an understanding of the innovative world of Graph Data Science This position offers an exciting opportunity to engage with cutting-edge analytics and machine learning solutions. You will explore how graph-based analysis can enhance predictions and uncover hidden insights in manufacturing processes, ultimately contributing to Jabil's operational efficiency and innovation.
- Learning and Implementation: Gain an understanding of Graph Data Science and its application in a manufacturing context. Implement experimental graph algorithms and machine learning models to analyze relationships within Jabil's extensive data.
- Experimentation and Analysis: Utilize an R or Python-based environment to conduct experiments and analyses. Leverage pre-configured graph algorithms and automated processes to discover valuable insights quickly.
- Predictive Analysis: Experiment with graph-based queries, search, and pathfinding to make better predictions and assist in decision-making processes.
- Collaboration and Sharing: Collaborate with data science teams to share insights that contribute to the development of Jabil solutions.
- Exposure to a broad set of graph algorithms and their practical applications in a real-world manufacturing scenario.
- Opportunity to contribute to impactful projects, enhancing operational efficiency and predictive capabilities at Jabil.
- This internship is ideal for students passionate about data science, machine learning, and looking to apply their skills in a dynamic and innovative manufacturing environment.
- Major(s): Computer Science, Data Science, Information Systems
- Class Year(s): Rising Junior, Rising Senior, Recent Graduate, Graduate Students
- GPA: Min 3.0
- Availability: Must be available to work in St. Petersburg Florida from May 20, 2024 – Aug 9, 2024
- Effective Communication
- Self-starter – Ability to drive work
- Leadership Skills: Agility, Building Trusting Relationships, Decision Making Skills, & Resilience
Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.
Accessibility Accommodation If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to or calling with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.-
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