Service Delivery Center, AI & Data - Analyst

Service Delivery Center, AI & Data - Analyst Other locations: Primary Location Only Requisition ID: 1716698 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. Your key responsibilities You will be working with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services. As part of that, you’ll need to be a team player with great communication skills, and have the desire to learn the technical skills required to fill the role. Skills and attributes for success 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 To qualify for the role you must have 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 Ideally, you’ll also have 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 What we look for We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high‑quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you. What working at EY offers 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 The base salary range for this job in all geographic locations in the US is $46,700 to $95,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $56,000 to $108,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. 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. Equal Employment Opportunity & Accommodations EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io. #J-18808-Ljbffr Ernst & Young Advisory Services Sdn Bhd