About The Position
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. Work 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. Build 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. Manage 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.
Requirements
- Bachelor'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.
- Must have 3 years of experience in any combination of external advisory professional services, external consulting, or customer success.
- Must have 4 years hands-on working experience with artificial intelligence, machine learning, data science, or data engineering.
- Must have 4 years of experience working with Python.
- Must have 2 years of combined experience using any combination of at least 2 of the following Generative AI models and frameworks: • OpenAI family • Open source LLMs, Dall-e • LlamaIndex • Langchain • Retrieval Augmented Generation (RAG) • Other frontier model families (e.g. Anthropic)
- Must have 1 year of combined experience using DevOps tools GIT and Azure DevOps as well as Agile tools to develop and deploy analytical solutions with multiple features, pipelines, and releases.
- Must have 2 years of experience designing, building, and maintaining ML models, frameworks, and pipelines as well as designing and deploying end to end ML workflows on at least one major cloud computing platform.
- Must have 4 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
- Must have 2 years of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems.
- Must have 2 years of experience directly managing technical teams.
- Requires travel up to 80%, of which 10% may be international, to serve client needs.
- Employer will accept any suitable combination of education, training, or experience.
Responsibilities
- Deliver data science, big data technologies, and operations research techniques
- Design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources
- Create approaches to help clients navigate data science, analytics, and software engineering
- Provide clients with a business perspective on how data science and analytics can transform and improve their organization
- Leverage Machine Learning (ML) workflows including ingesting, analyzing, and transforming data and evaluating results
- 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
- Build 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
- Design, build, and maintain ML models, frameworks, and pipelines as well as design and deploy end to end ML workflows
- Manage and motivate teams of professionals with diverse skills and backgrounds
- Consistently deliver quality client services by monitoring progress
- Maintain long-term client relationships and networks
- Cultivate business development opportunities
Benefits
- comprehensive compensation
- medical and dental coverage
- pension and 401(k) plans
- paid time off options
- Continuous learning
- flexible vacation policy
- EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
