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

ZS is a management consulting and technology firm that brings together data, science, technology, and human ingenuity to deliver better outcomes. The Advanced Data Science Associate Intern will design, develop, and execute analytics solutions for complex datasets, apply advanced statistical and machine learning techniques, collaborate with clients, and evaluate emerging datasets and technologies.

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 they're looking for:

• A master's degree in computer science or statistics (in-progress), and strong academic performance with analytic and quantitative coursework is 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
• 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
• Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship

Benefits:

• Cross-functional skills development and 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
• Comprehensive total rewards package supporting health and well-being, financial future, time away, and professional development
• Robust skills-building programs
• Multiple career progression paths
• Flexible and connected hybrid working model combining work from home and on-site presence at clients or ZS offices