Job Title

Consulting - Technology Consulting - AI and Quantitative Modelling - Artificial Intelligence Data Scientist (Manager) (Multiple Positions) (1701537), Ernst & Young U.S. LLP, Seattle, WA.u00a0Work with a wide variety of clients to deliver the latest data science, big data technologies, and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Create well-rounded approaches to help clients navigate the complex world of modern data science, analytics, and software engineering. Provide clients with a unique business perspective on how data science and analytics can transform and improve their entire organization. Clarify problems by driving to understand the true issue. Leverage Machine Learning (ML) workflows including ingesting, analyzing, and transforming data and evaluating results to make meaningful predictions and solve problems by incorporating data into decision making. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data. Use generative AI modelling and frameworks and large language models (LLMs) to help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices.u00a0Build and apply data analysis algorithms including data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining. Design, architect and develop solutions leveraging data technologies to ingest, process and analyze large, disparate data sets to exceed business requirements. Design, build, and maintain ML models, frameworks, and pipelines as well as design and deploy end to end ML workflows in order to unify, enrich and analyze customer data to derive new insights and opportunities.u00a0Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.u00a0Full time employment, Monday -- Friday, 40 hours per week, 8:30 am -- 5:30 pm.MINIMUM REQUIREMENTS:u00a0Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience; or a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 4 years of related work experience.u00a0[]{style=