Jobs at ZS - icims TEST

Develop statistical models and custom analyses using R, Tableau, SAS, Visual Basic, and Excel to address client business challenges. Interpret data, communicate recommendations, create deliverables, implement solutions, manage project updates, build client relationships, and mentor Associates. The internship is intended for doctoral students in engineering, mathematics, or another quantitative discipline entering their second-to-last year.

Support consulting engagements through market and desk research, quantitative analysis, problem solving, and client presentations. Develop insights using Excel, Access, Confirmit, and proprietary software; contribute to project planning, status updates, risk mitigation, and deadline management. Build client relationships, communicate recommendations, and mentor Associates while strengthening consulting and analytical capabilities.

Leads strategy consulting projects for research and development clients by defining scope, analyzing issues, testing hypotheses, synthesizing findings, developing recommendations, and communicating results. Coordinates project execution, supports business development, contributes thought leadership, and mentors junior team members. The role requires strong analytical, strategic, communication, client service, and team leadership skills, with consulting experience and relevant graduate or professional qualifications.

Supports consulting engagements through market and desk research, quantitative analysis, client presentations, relationship management, project planning, risk mitigation, and status reporting. Uses Excel, Access, Confirmit, and proprietary software to develop insights and recommendations. Collaborates with project teams, contributes to client decision-making, helps meet project goals and deadlines, and mentors Associates.

Strategy Insights and Planning Interns support consulting teams by researching markets, analyzing data, developing solutions to client business problems, synthesizing insights, communicating findings, and helping implement recommendations. They collaborate with clients and project teams while managing assigned deliverables. Candidates must be university students entering the second-to-last year of a bachelor’s or master’s degree, with strong quantitative abilities, communication skills, teamwork, initiative, and attention to detail.

Supports consulting engagements by researching markets, analyzing data, developing solutions to client business problems, and communicating insights and recommendations. The role uses Excel, Access, Confirmit, and proprietary software to create custom analyses, collaborates with client and internal teams, and owns assigned project deliverables. A bachelor's or master's degree with quantitative coursework and strong communication, teamwork, organization, and problem-solving skills is required.

Interns develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. They identify trends, evaluate emerging data technologies, collaborate with clients and stakeholders, and communicate analytical findings. The role requires strong quantitative skills, research orientation, critical thinking, and proficiency with Python, SQL, Pandas, PySpark, and modern AI and deep learning methods.

Decision Analytics Interns develop statistical models, analyze data, generate client insights, communicate findings, and collaborate on project teams to implement solutions. They use tools such as R, Tableau, SAS, VBA, and Excel to address business problems for consulting clients. Candidates must be pursuing a bachelor’s or master’s degree, demonstrate quantitative analytical skills, and meet academic and communication requirements.

Lead and support Salesforce CRM transformation projects for healthcare, pharmaceutical, and life sciences clients. Manage projects across strategy, requirements gathering, solution design, customization, implementation, and delivery. Collaborate with clients and technical teams, provide Salesforce platform guidance, communicate technical solutions to nontechnical stakeholders, and manage timelines, budgets, and deliverables.

Deliver CMC-focused analytics projects for pharmaceutical clients: serve as an SME in drug substance/product manufacturing and tech transfer, analyze data from ELN/LIMS/ERP/PLM, generate insights, communicate results to clients, manage teams/projects, and contribute to practice development and client-facing engagements.

Design, build, and deploy Generative AI and classical ML solutions including fine-tuning LLMs, RAG pipelines, multi-agent systems, and production monitoring. Lead research, architecture, and end-to-end delivery while mentoring junior team members and collaborating with cross-functional teams.

Lead data and technology advisory and delivery for drug discovery clients: define data strategy, architecture, governance, and roadmaps; manage projects and multidisciplinary teams through design and implementation; advise on platform selection and integration; contribute to business development and practice building; translate AI/data trends into practical recommendations.

Lead evidence generation engagements with life sciences clients across the product lifecycle. Design and oversee RWD/RWE studies, manage project teams, provide scientific and methodological direction, interact with senior clients, and produce high-quality deliverables including reports, presentations, abstracts, and manuscripts. Support business development and ensure timely delivery within a matrixed consulting environment.

Lead business development and delivery of complex supply chain transformations for high-tech and data center clients. Manage client relationships, design supply chain analytics and solutions (inventory, demand/capacity planning, network design, supplier performance), lead cross-functional teams, present executive recommendations, and coach project team members.

Lead and grow the ZS–Google Cloud alliance: own governance and KPIs, develop joint GTM and co-sell strategies, drive pipeline and revenue, enable internal teams, and expand joint solutions and marketing.

Lead design of AI-powered enterprise and healthcare products, translating analytics into scalable interaction patterns, guiding research and GenAI-driven prototyping, mentoring designers, evolving design systems, and partnering with clients to define AI experience strategy and deliver production-ready designs.

Lead and advise life sciences clients on end-to-end digital application programs. Define architectures, NFRs, and technical designs; drive cloud-native, microservices, and DevSecOps delivery; estimate and plan large programs; build and mentor cross-functional teams; contribute to practice development and go‑to‑market initiatives.

Lead large-scale cloud, data, and AI-driven transformation programs for High‑Tech clients. Drive business development, senior client relationships, and solution design leveraging cloud-native architectures, modern data engineering, analytics, ML/GenAI, and commercial systems. Oversee onshore-offshore delivery, shape technology strategy, and build reusable accelerators to scale outcomes.

Work on cross-functional life sciences consulting projects: conduct market and desk research, design custom analyses, synthesize findings, present to clients, manage project plans and risks, build client relationships, mentor associates, and support capability building.

Lead large-scale organizational transformations for life sciences clients: design organization structure, governance, and KPIs; enable change through behavioral science; engage senior stakeholders; manage project execution, deliverables, and junior staff; drive business development and thought leadership.