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 casesCollaborate 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 objectivesFocus on continuous innovation by assisting in prototyping modern AI agent and orchestration patterns using frameworks like LangChain/LangGraphDrive the delivery of robust data science features by taking ownership of specific modules from development and experimentation through to deploymentEngage in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practicesEnhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for qualityProvide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysisAct with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications:Minimum three years of recent experience in data science, machine learning engineering, or a similar role with a focus on building and deploying AI modelsMaster'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 requiredExperienced in working with LLMs, AI frameworks like LangChain or Semantic Kernel, and building AI-powered applicationsStrong programming skills in Python and its data science libraries; experience with Azure, Databricks, or Microsoft Fabric is a significant plusProficient with SDLC tools and methodologies including Git, Azure DevOps, and working within an agile frameworkExcellent 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)KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG LLP is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Depending on job classification, standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA:KPMG LLP and its affiliates and subsidiaries ("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/ethnicity, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, childbirth or other related condition, military/veteran status, genetic information, status as a victim of domestic violence or sexual abuse or any other legally protected status. The attached link contains further information regarding the firm's compliance with federal, state, and local recruitment and hiring lawsKPMG 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.