Advanced Data Science Associate - Intern (North America - University Students)

Zs Associates; Princeton (NJ); Hybrid; USD 34,000 - 48,000; Part time

Job summary

ZS is seeking an Advanced Data Science Associate Intern in Princeton, NJ. You’ll help design, develop and execute high-impact analytics solutions for large data sets while learning from a collaborative team of data scientists and consultants.

The internship offers a pathway to full-time employment based on performance. Responsibilities include building algorithms, applying ML and statistical methods, and communicating results to clients.

Qualifications

• Master’s candidate in a quantitative field with strong analytic coursework.
• Knowledge of AI/ML techniques and advanced analytics concepts.
• Familiarity with big data tools and data manipulation.

Responsibilities

• Develop advanced algorithms for large datasets in a scalable way.
• Apply statistics and ML techniques to uncover trends and insights.
• Collaborate with clients and ZS stakeholders to communicate analytic findings.
• Evaluate emerging datasets and technologies for the analytics platform.

Skills

AI/ML techniques

Deep Learning

PySpark

Data wrangling

Communication

Education

Master's degree in data science (in-progress)

GPA 3.4+ in analytic coursework

Tools

Python

Pandas

SQL

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, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. 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.

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.

ADVANCED DATA SCIENCE ASSOCIATE - INTERN

Advanced Data Science Associates (ADSAs) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. At the end of the internship, interns are evaluated and considered for a full-time employment offer.

What You’ll Do

• Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.
• Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings.
• Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform.

What You’ll Bring

• A master's degree in data science, computer science, or statistics (in-progress), and have an overall academic GPA of 3.4 or higher, along with a strong academic performance in analytic and quantitative courseworkis required.
• Knowledge of key AI-ML techniques/algorithms/advanced analytics concepts (E.g. Predictive modelling, text mining, recommender systems, social listening, Graph-based-models)
• Knowledge of Deep Learning and AI Technologies (e.g. LLMs, Gen AI, Deep Learning and Transformers)
• Familiarity with statistical methods (e.g. Bayesian Learning methods, Causal Modeling) and big data (e.g. PySpark)
• Proficiency in data manipulation/data wrangling using industry standard tools (e.g. SQL, Python-Pandas)
• Excellent oral and written communication skills (fluency in English).
• Strong attention to detail, with a research-focused mindset.
• Excellent critical thinking and problem solving skills.
• High motivation, good work ethic and maturity.

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 United States, visit ZS US office locations | Where we work | ZS.

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.

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. Learn more 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.

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.

Work Authorization:

This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.