New

Technical Lead I - Data Scientist

KPMG
life insurance, 401(k)
United States, Texas, Dallas
2323 Ross Avenue (Show on map)
Aug 27, 2026
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 Technical Lead I to join our Audit Technology Organization (ATO). Responsibilities: Design and develop innovative generative AI solutions to push the frontier of using AI in audit and related professional services Collaborate closely with product managers, audit subject matter experts, and other engineering teams to translate complex business requirements into scalable and reliable technical solutions Champion a culture of quality and innovation; identifying opportunities to continually improve our solutions Drive quality software development lifecycle (SDLC) processes with our AI engineering teams; deliver solutions on time to meet business cycle timelines Oversee the development of advanced context engineering strategies to manage diverse and sensitive client data, ensuring our solutions are versatile and effective across various industries Monitor the usage and impact of AI solutions in the audit process, gather user feedback for future research efforts, and stay updated on current and emerging trends in generative AI Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum five years of recent professional experience in data science, analytics or a related field, with a recent focus on building AI agent solutions; experience in the professional services or financial services industry is preferred Master's degree from an accredited college or university in computer science, statistics, mathematics, analytics or a related quantitative discipline is preferred; Bachelor's degree from an accredited college or university is required Hands-on expertise with generative AI, including extensive experience with LLMs (for example Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel Proficiency in Python and its data science ecosystem, with practical experience building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search Solid understanding of the SDLC in an Agile environment, including hands-on experience with version control (Git) and CI/CD tools within Azure DevOps Exceptional analytical skills and the ability to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders to drive solutions forward KPMG LLP and its 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 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. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. 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: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8153_9_26 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.