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As a Decision Analytics Associate Intern, you'll develop advanced statistical models and leverage analytical techniques to help clients address business challenges. Responsibilities include custom analyses using tools like R and Tableau, communicating results, managing project status updates, and mentoring team associates.
Interns at ZS will leverage problem-solving skills to address client business challenges, conduct market research, and communicate insights. They will work with project teams, utilize analytical tools, and synthesize findings to guide client decisions, while being evaluated for potential full-time offers at the internship's conclusion.
As a Business Technology Solutions Associate intern, you'll collaborate with internal and client teams to design and implement technology solutions, analyze business problems, and apply development methodologies to ensure project success.
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The Head of Microsoft Alliance is responsible for building and managing the Microsoft partnership, overseeing revenue targets, and collaborating with cross-functional teams on sales strategies and customer success. This role involves engaging with Microsoft teams to drive business growth and execution of go-to-market plans, while ensuring a customer-first mindset throughout.
The Technology Principal at ZS will drive growth in R&D Technology, manage existing client relationships, and develop new ones within Pharma and Biotech sectors. Responsibilities include leading client engagements, delivering quality services, overseeing project progress, building executive relationships, and mentoring team members.
The R&D AI Consultant at ZS will develop AI and data science solutions for life sciences, collaborate with clients and internal teams, and contribute to thought leadership in AI-based innovations. The role includes mentorship of junior team members and driving impactful solutions across the R&D lifecycle.
Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
You will build and monitor model pipelines, lead LLM development and deployment, scale ML algorithms on massive datasets, enhance ML Engineering platforms, and ensure quality deliverables through best practices. Collaboration with global teams and participation in scrum calls is expected.
The Regional Manager Sales at ZS will be responsible for building and creating viable clients through various channels, managing internal leads, cold calling prospects, and leading presentations. The role focuses on identifying and growing partnerships with enterprise organizations while ensuring high customer satisfaction and loyalty.
As a Product Data Scientist at ZS, you will lead client engagements by delivering insights from data analytics and building operational data processes. You will analyze complex business problems using advanced algorithms and collaborate with teams to optimize client strategies.
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