Summer 2026 PhD IT Data Science Intern (Business / Operations / Strategy)
Job Description
Our Data & AI organization empowers business digital transformation by providing infrastructure, platform and data science support. We partner with SG&A (Selling, General & Administrative) functions—including Finance, HR, Procurement, Legal, and other business support areas—to deliver advanced analytics, automation, and AI-powered solutions. We offer internship opportunities for PhD students to work on impactful analytics projects that enable smarter decision-making and drive operational excellence.
Essential Duties & Responsibilities:
Partner with stakeholders across Finance, Sales Operations, Marketing, HR, and General Operations to understand business questions and decision needs within SG&A functions
Analyze large, complex datasets to identify patterns, drivers, and risks impacting cost, revenue, efficiency, and resource allocation
Develop and evaluate predictive models (e.g., forecasting, classification, regression) to support planning, prioritization, and operational decisions
Build scenario, what‑if, and sensitivity analyses to help business teams understand trade‑offs under uncertainty
Apply optimization or decision modeling techniques to recommend actions such as budget allocation, capacity planning, or spend optimization
Translate ambiguous business problems into structured analytical frameworks , clearly documenting assumptions and limitations
Communicate insights and recommendations through clear visualizations, summaries, and presentations tailored to non‑technical audiences
Validate model outputs using appropriate metrics and ensure results are interpretable, explainable, and decision‑ready
Collaborate with data engineering, analytics, and business partners to ensure data quality, consistency, and proper usage
Support the deployment or handoff of analytical solutions, including documentation and stakeholder walkthroughs
Continuously iterate on models and analyses based on feedback, new data, and evolving business requirements
Qualifications
Required:
Currently pursuing a PhD (graduating 2027) in Computer Science, Industrial Engineering, Data Analytics, Applied Mathematics, Economics or related field.
Strong background in one or more of the following:
Machine learning / deep learning / AI model development
Operations research, simulation, or optimization algorithms
Computer vision or image analytics
Predictive modeling or anomaly detection
Big data analytics and distributed computing (Spark, Hadoop, or cloud platforms)
Proficiency with programming and analytics tools such as Python, Pytorch.
Demonstrated ability to translate research concepts into practical, scalable solutions.
Collaborative mindset, curiosity, and eagerness to learn from multidisciplinary teams.
Preferred:
Additional Information
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here.
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be 04/23/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
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