The Decision Analytics Associate will apply advanced statistical models to help clients address business challenges. Key responsibilities include leveraging data for decision-making, developing analyses in various programming languages and tools, and communicating project updates. The role also involves mentoring associates and enhancing ZS's problem-solving capabilities.

The Applied AI Scientist will develop algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to thought leadership in the firm. The role requires strong programming skills and experience with machine learning platforms to drive life-changing solutions for clients.

The Health Plan Digital & Technology Manager will lead client business development and manage relationships while demonstrating deep sector knowledge. Responsibilities include motivating diverse teams, staying current with industry trends, providing feedback, and ensuring effective delivery of digital solutions.

The Enterprise Architect will co-lead the growth of the tech advisory practice, manage client relationships, provide leadership in technology consulting, and support the development of technology and architectural solutions. Responsibilities include driving new business opportunities, managing teams, and mentoring junior consultants while ensuring alignment with client needs and technology capabilities.

In this role, you will collaborate with internal teams and clients to implement high-quality technology solutions in healthcare, lead project teams, translate business problems into technical designs, and oversee project deliverables, ensuring timely completion and mentorship for junior members.

As a Decision Analytics Associate Consultant, you will develop advanced statistical models, leverage analytic techniques for decision-making, design custom analyses, synthesize results, and communicate findings to clients. You will also build client relationships, manage project deliverables, and mentor associates while working collaboratively within the team.

The Health Plan Analytics and Insights Manager will lead client relationships, manage delivery and risks, and drive business development in the health plan sector. The role requires strong analytical skills, team leadership, and the ability to foster a collaborative work environment while staying updated on industry trends.

As a Technology Principal at ZS, you'll drive practice solutions and services, supporting the growth of the practice area through business development, talent management, and high-quality client services. You'll lead operational aspects, ensuring timely and budget-compliant delivery of services while engaging with clients at senior levels to drive revenue and develop new prospects.

The CRM Architecture Manager will lead CRM transformation programs for healthcare clients, develop CRM assets and best practices, provide strategic guidance on Salesforce and Veeva solutions, and collaborate with senior stakeholders. Responsibilities also include mentoring consultants, managing multiple projects, and driving business development through client engagement.

Strategy Insights & Planning Consultants at ZS collaborate with clients to create tailored solutions for business challenges. They conduct analyses, design project approaches, and synthesize findings to deliver high-quality recommendations, while also mentoring junior members and participating in business development.

As a Business Technology Solutions Consultant at ZS, you will lead projects using cloud technologies, provide expertise to maximize client value, ensure timely delivery of projects, mentor team members, and collaborate globally. You will also assist in business case development and drive innovation while managing project risks.

As a Decision Analytics Associate Consultant at ZS, you will develop and apply advanced statistical models, leverage analytic techniques, and design custom analyses to inform client decision-making. You'll synthesize and communicate results, maintain client relationships, and guide project deliverables while mentoring junior team members.

The Decision Analytics Consultant will work on identifying problems, managing multiple project workstreams, developing deliverables with strategic recommendations, and leveraging quantitative skills to provide insights for Health Plan clients. You will collaborate with clients to analyze data and address their business questions, while building strong relationships and developing expertise in client analytics.

The Machine Learning Engineer will build and monitor model pipelines, scale ML algorithms for large datasets, enhance ML engineering platforms, implement MLOps, and collaborate with teams to deliver projects efficiently. Responsibilities include writing production-ready code, performing design/code reviews, and researching new architecture patterns.

As a Business Technology Solutions Associate Consultant at ZS, you will collaborate with teams to implement technology solutions that address business problems, support project delivery, manage diverse teams, and guide project deliverables while leveraging your expertise in SQL, data analytics, and programming.

In this role, you will leverage your extensive health plan sector knowledge to manage client relationships and lead business development initiatives. You'll motivate diverse teams, stay updated on industry trends, and contribute to the delivery of digital solutions while fostering a collaborative and inclusive environment.

As a Decision Analytics Consultant, you will leverage your quantitative skills and advanced data analytics to address client business questions, develop data-driven solutions, and communicate findings effectively. You'll work collaboratively with clients to understand their needs and analyze relevant data to support their goals.

The Advanced Analytics Manager will apply scientific and technical expertise to develop new Discovery opportunities, manage projects for Life Science clients, and build long-term client relationships while leading a growing global team.

The Regional Manager - Sales will drive sales and revenue generation by identifying, qualifying, and closing partnerships with large enterprise organizations. Responsibilities include managing leads, conducting executive presentations, and collaborating on customer proposals while maintaining high levels of customer satisfaction and retention.

As a Senior Product Data Scientist, you will lead client engagement, implementing advanced algorithms, managing teams, and delivering insights to solve complex business problems, while driving client impact and business growth.