<p>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.</p>

<p>KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization.</p><p>Responsibilities:</p><ul><li>Develop&nbsp;and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases</li><li>Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules</li><li>Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture</li><li>Focus on learning and applying our technology stack, including&nbsp;LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure</li><li>Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement&nbsp;</li><li>&nbsp;Participate actively&nbsp;in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices</li><li> Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment</li></ul><p>Qualifications:</p><ul><li>Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering</li><li>Master’s degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred.&nbsp; Minimum of a Bachelor’s degree is required.</li><li>Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like&nbsp;LangChain&nbsp;is preferred </li><li>Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric</li><li>Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like&nbsp;ADO and&nbsp;Github</li><li>Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)</li><li>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)</li></ul>

<div><div>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 <a href="https://resources.kpmguscareers.com/EEO.pdf">link</a> contains further information regarding KPMG’s compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</div><div><br></div><div>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.</div><div><br></div><div>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.</div></div>