Service Delivery Center, AI & Data - Analyst

EY Studio+ Nederland • Dallas, TX

8d • Hybrid

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. This practice also has several Service Delivery Centers that are made up of high-performing US-based resources who work closely with our experienced client-serving professionals to deliver project-based work and managed services to our US-based Financial Services clients. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! The opportunity Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. You’ll be solving complex problems, as well as giving deliverables to our clients in the AI and data space. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.

Requirements

• 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
• Passionate about technology
• Comfortable analyzing or manipulating data while generating reports for clients
• Ability to clearly articulate both problems and proposed solutions
• Willingness to learn and quickly adapt to changing requirements
• Team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work
• Proactive approach

Nice To Haves

• 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

Responsibilities

• Working with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services.
• Being a team player with great communication skills, and have the desire to learn the technical skills required to fill the role.
• 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
• 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

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
• flexible environment
• comprehensive compensation and benefits package
• flexible vacation policy
• time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level