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. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair
360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization.

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 Lang Chain/Lang Graph 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 Lang Smith; 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

Qualifications:

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 Lang Chain 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 Dev Ops, and working within an agile framework

Excellent problem-solving skills; able to communicate technical details effectively within a collaborative team environment(200

TEC)
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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