Advanced Data Science Associate Consultant - Generative AI and Machine Learning

Overview

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 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.

We are seeking a Data Scientist (Associate Consultant) with deep expertise in both Generative AI and traditional machine learning to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying high-impact AI solutions. You will be a key player in architecting our next generation of AI agents and workflows that tackle complex problems, turning ambiguous business needs into concrete technical solutions that redefine what s possible.

This is a hands-on role that requires a strong foundation in ML theory, advanced skills in GenAI application development, and a practical understanding of deploying models to ensure your creations are robust, scalable, and impactful.

• Design, build, and deploy advanced machine learning and GenAI models to solve key business problems.
• Architect and develop complex, stateful multi-agent systems and workflows using modern agentic frameworks like Lang Graph.
• Develop and product ionize sophisticated AI systems, including fine-tuning open-source LLMs, building advanced Retrieval-Augmented Generation (RAG) pipelines, experience in advanced prompt engineering development and designing multi-agent systems.
• Lead the research, experimentation, and implementation of novel GenAI techniques to solve complex business problems, pushing the boundaries of what is possible.
• Lead the end-to-end lifecycle of data science projects, from initial conception and data analysis to model deployment and in-production monitoring.
• Apply classical machine learning techniques (e.g., predictive modeling, time-series analysis, classification) to analyze large-scale, complex datasets.
• Collaborate closely with cross-functional teams, including engineers, product managers, and domain experts, to deliver integrated AI solutions.
• Ensure the operational viability of deployed models by implementing robust monitoring for performance and data drift.

• A PhD Degree in Computer Science, Statistics, or a relevant field or a master s degree with 3-5 years of relevant post-collegiate work experience.
• Demonstrated experience in designing, building, and deploying Generative AI applications, with hands-on expertise in techniques such as fine-tuning, prompt engineering, Agentic systems, Retrieval-Augmented Generation (RAG), and working with vector databases.
• Strong proficiency in Python and core data science libraries (e.g., pandas, scikit-learn).
• Experience with deep learning frameworks such as PyTorch or Tensor Flow.
• Prior leadership experience from a relevant position.
• Fluency in English.

• Deep, hands-on experience building multi-agent systems with frameworks like Lang Chain, Lang Graph, or similar ADKs.
• Deep experience with GenAI frameworks like Lang Chain, Llama Index, Hugging Face ecosystem and familiarity with MCP tools.
• Experience with model quantization, inference optimization, and other…