Data Scientist- Senior Associate - KPMG

Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established architecture.,Drive quality into prompt engineering and optimization for business use cases.,Collaborate closely with product managers, senior data scientists, and AI engineers to translate feature requirements into production-ready code and contribute to the team's technical objectives.,Focus on continuous innovation by assisting in prototyping modern AI agent and orchestration patterns using frameworks like LangChain/LangGraph.,Engage in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices.,Enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality.,Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis.,Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment.

Minimum three years of recent experience in data science, machine learning engineering, or a similar role with a focus on building and deploying AI models.,Master's degree from an accredited college or university in computer science, data science, statistics, or a related technical field is preferred; minimum of a bachelor's degree is required.,Experienced in working with LLMs, AI frameworks like LangChain or Semantic Kernel, and building AI-powered applications.,Strong programming skills in Python and its data science libraries.,Experience with Azure, Databricks, or Microsoft Fabric is a significant plus.

Bachelor's Degree (minimum), Master's Degree (preferred)