Service Delivery Center, AI & Data - Analyst

EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to building a better working world. The Analyst role in the Service Delivery Center focuses on delivering AI and data services to financial institutions, solving complex problems, and fostering a collaborative team environment.

Responsibilities

• Collaborating with diverse skills and backgrounds
• Fostering an innovative and inclusive team-oriented work environment
• Being accountable for the success of your team and the project’s components
• Building strong relationships with your internal clients
• Great communication and influencing skills
• Demonstrating in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology
• Designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines
• Helping clients make data-driven decisions by working with structured and unstructured data sets and building out predictive models
• Applying advanced analytical and statistical methods, including machine learning and data structure design
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, etc) as appropriate
• Designing and developing solutions leveraging big data technology (Hadoop, Spark, etc) to ingest, process, and analyze large, disparate data sets

Skills

• A bachelor's or master's degree in computer science, information systems, or related technology majors
• Minimum of 1 years of related work experience in AI/ML engineering or MLE/ML Ops
• Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc)
• Experience in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence
• Knowledge of cloud-based AI services and machine learning platforms such as AWS SageMaker, Google AI Platform, or Azure Machine Learning
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing AI applications in the cloud
• Good written and verbal communication skills
• A willingness and ability to travel at 0%-25%
• Valid driver's license in the US
• Valid passport
• Certification in any database management system, reporting or data visualization, or programming/statistical language
• Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
• Experience with generative AI models and techniques, including GANs and Transformers
• Understanding of the ethical implications of generative AI and commitment to responsible AI practices

Benefits

• Medical and dental coverage
• Pension and 401(k) plans
• A minimum of 15 days of vacation plus ten observed holidays and three paid personal days
• A range of programs and benefits designed to support your physical, financial, and social well-being
• Opportunities to develop new skills and progress your career
• Support and coaching from some of the most engaging and knowledgeable colleagues
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances.
• You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Company Overview

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