Data Scientist-Tech Con-AI and Data-AI and Quan Modelling-Azure Data Scientist-Mgr-Mult Pos

Overview

Data Scientist - Technology Consulting - AI and Data - AI and Quantitative Modelling - Azure Data Scientist - Manager - Multiple Positions - 1680332

Location:

San Jose

Other locations:
Primary Location Only

Date: 29 Jan 2026

Requisition

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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, too.

Join us and build an exceptional experience for yourself, and a better working world for all.

• Solve complex analytical problems to bring data to insights and enable ML/AI at scale for clients.
• Assist with clients  data strategy, business priorities, and success measures to provide context for designing and building models.
• Translate business requirements into Data Science solutions with strong business acumen.
• Architect solutions that meet business needs, AI roadmaps, and scale to support additional modelling use cases.
• Collaborate with Microsoft Cloud Solution Architects and Data Platform Engineers on end-to-end Enterprise solutions on the Microsoft Azure platform.
• Design machine learning pipelines that curate datasets, train, test, validate models, compare performance, and deploy to real-time serving or batch scoring.
• Provide guidance on data technology, data models, data storage and data analytics.
• Stay abreast of current business and industry trends relevant to the client s business.

• Manage and motivate teams of professionals with diverse skills.
• Consistently deliver quality client services by monitoring progress.
• Maintain long-term client relationships and networks.
• Cultivate business development opportunities.

MINIMUM REQUIREMENTS:

Must have a Bachelor’s degree in Mathematics, Information Systems, Statistics, Computer Science, Data Science, Machine Learning, Analytics, Engineering or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience. Alternatively, a Master’s degree in the same fields and 4 years of advisory and/or consulting work experience. (

Note:

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Must have 4 years of combined experience with data science, AI, and/or data engineering or big data.

Must have 2 years of combined experience with 3 of the following:

• machine learning such as k-NN, naive Bayes, decision trees, or SVM
• data mining and statistical tools
• pattern recognition and predictive modelling
• setting up data and experimental platforms

Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.

Must have 1 year of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks.

Must have 1 year of experience with cloud Machine Learning frameworks and tools such as Tensor Flow, PyTorch, ONNX, Weka, Num Py, or PyMongo.

Must have 1 year of experience with Model Management, such as Azure ML service or MLFlow and deployment of models using Azure Kubernetes Service.

Must have 1 year of experience working in Python, R, Scala, or T-SQL.

Must have 2 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback.

Requires domestic travel up to 70% to serve client needs.

Employer will accept any suitable combination of education, training or experience.

Please apply on-line at and follow the job search instructions for Experienced Professionals (Job Number - 1680332).

What we offer

We offer a comprehensive compensation and benefits package with a base salary of $162,615 per year plus Total Rewards including medical and dental coverage, pension and 401(k) plans, and paid time off. EY supports a hybrid model and flexible vacation policy;…