Data Scientist- Senior Associate

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities.

Responsibilities

• 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
• Drive the delivery of robust data science features by taking ownership of specific modules from development and experimentation through to deployment
• 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

Requirements

• 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
• Proficient with SDLC tools and methodologies including Git, Azure DevOps, and working within an agile framework
• Excellent problem-solving skills; able to communicate technical details effectively within a collaborative team environment
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

Benefits

• Comprehensive medical and dental plans, vision coverage, disability and life insurance
• 401(k) plans
• Robust suite of personal well-being benefits to support mental health
• Personal Time Off per fiscal year, based on job classification, standard work hours, and years of service
• Two annual breaks where employees will not be required to use Personal Time Off: one at year end and one around the July 4th holiday

Pay

KPMG complies with all local/state regulations regarding displaying salary ranges. Salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications, and market considerations. For city-specific salary ranges outside of California, visit KPMG's pay transparency page.