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, Fair360 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 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

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 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(200TEC)
• 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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KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.