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Founded in 1966, Jabil is a company in the electronic manufacturing sector. From its headquarters in St. Petersburg, Florida, the company employs a team of over 200,000 people in 2
DATA SCIENCE INTERN
Location
United States
Posted
94 days ago
Salary
$16 - $32 / hour
No structured requirement data.
Job Description
DATA SCIENCE INTERN
Jabil
At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 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. DATA SCIENCE INTERN JOB DESCRIPTION Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow! JOB SUMMARY A data science intern is a trainee who wants to gain working experience in the field of data science. Data science interns assist data scientists in collecting, analyzing, and interpret data sets to drive optimization and improvement of product development. As part of the company's trainees, Machine learning and generative AI interns are expected to assist in designing and implementing advanced ML pipelines and Gen‑AI solutions, including developing, training, and optimizing models to address complex real‑world problems. Data science interns must also coordinate with different functional teams to implement models and monitor outcomes. ESSENTIAL DUTIES AND RESPONSIBILITIES - Identifies and analyzes patterns in the performance of machine learning models, the types of Gen‑AI outputs produced (e.g., text, images), and the speed or unexpected variations in model behavior during training and inference. - Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results, LLM model evaluation etc. - Works with engineering and data science teams to support model training, fine‑tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements. - Build dashboards using tools like power BI - Conducts basic data analysis JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS - Proficient in Python/R, Cloud techniques development experience is plus - Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models is preferred - Familiarity with generative AI models (e.g., GPT‑based large language models, diffusion models), prompt engineering techniques, and model fine‑tuning or customization is preferred. - Strong statistics knowledge is plus - Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus - Highly motivated and creative, thinking “out of the box” - Strong team mentality, interpersonal and communications skills - Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required EDUCATIONAL BACKGROUND & EXPERIENCE - Students who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics The hourly pay range for this role is $16.00 - $32.00. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity. The anticipated close date of this job requisition is: March 10, 2026. As part of the total rewards package, Jabil offers benefits to enhance your health, wealth, and resilient self. These include medical, dental, and vision insurance plans; paid time off accruing at a rate of 3.07 hours during your first year of employment; 4 weeks of paid parental leave; in 2026, 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly; 401(k) retirement plan; and employee stock purchase plan. BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in. 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 Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com or calling 727-803-7988 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. #whereyoubelong #AWorldofPossibilities #EarlyCareer
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