ZSis a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact bybringing together data, science,technologyandhuman ingenuityto deliver better outcomes for all. Hereyou'llworkside by sidewith a powerful collective of thinkers and experts shaping life-changing solutions for patients,caregiversand consumers, worldwide.ZSersdrive impact by bringing aclient-firstmentalitytoeach and everyengagement. 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,courageand passion to drive life-changing impact to ZS.

Insights & Analytics

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

Whatyou'lldo:

Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality.
Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation.
Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings.
Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform.

What You'll Bring:

Amaster's degree in computer science, Statistics, or a relevant field
1-2 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions.

A robust academic performance history with coursework emphasizing analysis and quantitative skills.
A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
A proficiency in at least one programming language (e.g., Java/Python/R).
Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
Fluency in English.

Howyou'llgrow:

Cross-functional skills development & custom learning pathways

Milestone training programs aligned to career progression opportunities

Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Hybrid working model:

ZS is committed to aFlexible and Connectedway of working.ZSersareonsiteat clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available.The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

How you'll grow:

Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in , visit .

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying

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 integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

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Advanced Data Science Associate