Data Scientist- Manager

Overview As a Data Scientist in KPMG’s Audit Technology Alliance, you will help design and deploy cutting-edge generative AI solutions that power audit workflows. You’ll guide end-to-end data science work, from experimentation to deployment, while aligning with product needs and engineering standards. You’ll collaborate with product managers, audit experts, and engineers to translate complex requirements into scalable tech. The role emphasizes quality, innovation, and mentorship within a fast-moving, agile environment. This is a chance to shape AI-enabled audit capabilities at a leading professional services firm. Compensation / Benefitscomprehensive benefits packagemedical and dental plansvision coveragedisability and life insurance401(k) planswell-being benefits ResponsibilitiesDevelop sophisticated generative AI solutions and provide technical guidance to a data science teamOversee end-to-end data science lifecycle for key product features, including experiments and model evaluationCollaborate with product managers, audit experts, and engineers to translate business requirements into scalable solutionsChampion quality and innovation within engineering teams and improve AI systemsLead and ensure SDLC processes for AI engineering teams and deliver on timelinesGuide junior data scientists in hands-on work with context engineering, model tuning, and advanced analysisPromote integrity and a respectful, professional work environment Key requirementsMinimum five years of experience in data science or ML with production AI deliveryPhD or Master’s degree in computer science, statistics, mathematics, or related quantitative disciplineHands-on expertise with generative AI, including LLMs and RAG pipelinesExperience with LangChain/LangGraph or Semantic KernelProficiency in Python and data platforms like Databricks or Microsoft Fabric; Azure AI Search experienceSolid SDLC understanding in an agile setup; experience with Git and CI/CD in Azure DevOpsStrong communication skills to convey complex concepts to diverse stakeholdersExcellent analytical capabilitiesstrong communicationmentorship and leadershipcollaboration with cross-functional teamsGenerative AILLMs (Azure OpenAI, Google Cloud)RAG pipelines