AI Associate Intern – Platform Delivery (North America – University Students)

Job Description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide.

ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people.

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here.

Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. AI ASSOCIATE PLATFORM DELIVERY – INTERN The Max. AI platform team is driving the development and commercialization of a robust ecosystem of AI and Generative AI products across industries.

Key offerings include:​ Max. AI: A cross-industry platform that integrates traditional machine learning and automation with cutting-edge large language models to meet evolving client demands. ​ Personalize.

AI (P. AI): A patented, cloud-native AI SaaS product that leverages customer data—such as loyalty programs, clickstream, and transactions—to deliver hyper-personalized content, journeys, and product recommendations.

​ What You’ll DoAssist in developing and implementing algorithms to solve business challenges using Python, PySpark, and SQL. Execute statistical and data modeling techniques to identify trends in data sets. Collaborate with team members to design and execute data science solutions.

Support project management efforts and help develop product use cases. Create presentations and storyboards to communicate solution impacts to clients. What You’ll Bring Candidates should be pursuing a master’s degree in Computer Science, Statistics, or a related field with strong academic performance in analytics and quantitative coursework.

Knowledge of programming languages such as Python, PySpark, and SQL, along with QC skills to debug and update processes and boost efficiency. Familiarity with machine learning concepts and algorithms (e. g.

, regression, clustering, and classification) is a plus. Knowledge of big data/advanced analytics concepts and algorithms (e. g.

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