Financial Services - Senior - Data Scientist - EDGE

Location: New York, Boston, Philadelphia, Iselin, Hoboken, Stamford, Hartford, Albany, Washington, McLean, Arlington, Baltimore, Charlotte, Raleigh, Miami, Boca Raton, Orlando, Tampa, Jacksonville, Cleveland, Columbus, Cincinnati, Akron, Detroit, Grand Rapids, Toledo, Indianapolis, Chicago, Dallas, Houston, Minneapolis, Austin, San Antonio, Nashville, Memphis, St. Louis, Kansas City, New Orleans, Milwaukee, Des Moines, Oklahoma City, Tulsa, Rogers, Atlanta, Portland 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. Tax – Financial Services Organization – Other Tax – Data Scientist - Senior Will you shape the future or will the future shape you? The opportunity EY is a leader in serving the global financial services marketplace and the only professional services firm with a separate business unit dedicated to the financial services industry – the Financial Services Organization (FSO). Our focused model and bold ambition have put us at the center of events that continue to reshape and redefine our industry, working side by side with a range of clients from our most venerable institutions to dynamic new entrants across Banking and Capital Markets, Wealth and Asset Management, Insurance, and Real Estate, Hospitality and Construction. Our purpose is to help build a financial services industry in which financial institutions are trusted and flourish, and the global economy is healthy, growing, and secure. If you have a passion for rallying together to solve complex challenges, then come join our dynamic FSO team! Our Financial Services EY EDGE practice is made up of a team of professionals providing dedicated tax technical services to both US and global clients. EDGE stands for Exceptional Delivery and Growth Engine because this team operates in a technical environment with deep process and service delivery experience that distinguishes EY in the marketplace. Join our Tax Technology and Transformation Team as a Data Scientist Senior, where you will be part of a technology organization that develops and maintains innovative solutions for our client-serving Tax professionals. You will have the opportunity to partner with Tax stakeholders to analyze complex datasets, design and develop advanced data science solutions, and deliver actionable insights using modern Azure-based data and analytics platforms. In this role, you will leverage tools such as Azure Data Services and Power BI to support data exploration, model deployment, and analytical storytelling. Your key responsibilities Comprehend and translate business requirements in the Tax domain into analytical problem statements Partner with business stakeholders, data engineers, and architects to design end-to-end data science and analytics solutions Explore, analyze, and prepare structured and semi-structured data for advanced analytics and modeling Develop data features and transformations in collaboration with data engineering teams Expose analytical insights to end users through Power BI dashboards, APIs, or other modern visualization platforms Write complex SQL queries to extract and analyze data across multiple source systems Identify data quality issues, assess data limitations, and recommend remediation approaches Perform end-to-end data validation and model testing Document analytical approaches, assumptions, methodologies, and results for both technical and non-technical audiences Skills and attributes for success Strong experience with data science and analytics using Python, R, or similar analytical programming languages Experience working with Azure-based data platforms (e.g., Azure SQL, Azure Data Lake, Azure Synapse) Strong SQL skills with experience querying large, complex datasets Experience applying statistical analysis, machine learning, and predictive modeling techniques in a production environment Knowledge of data engineering concepts, ETL processes, and collaboration with data pipeline teams Understanding of data quality, data governance, and master data management principles Experience with data visualization tools such as Power BI or similar platforms Knowledge of DevOps processes (including CI/CD) and model deployment or MLOps fundamentals Experience working with large-scale, enterprise datasets in a regulated or professional services environment Strong analytical, problem-solving, and troubleshooting abilities Good understanding of model validation, testing, and analytical best practices Ability to work under tight deadlines and manage multiple priorities Strong analytical, interpersonal, and written/verbal communication skills, with the ability to explain complex concepts to non-technical audiences Ability to lead project teams, mentor junior professionals, and support client-serving engagements Strong proficiency and comfort working with new and emerging analytics and data science technologies Strong organizational and time management skills with a demonstrated ability to capture and synthesize business requirements To qualify for the role, you must have Bachelor’s degree required (4-year degree) Accounting, Finance, Information Systems, Economics and/or a master’s degree in Accounting, Tax Technology, Management Information Systems, or Computer Science or related field A minimum of three years of relevant experience You are required to have one of the following certifications: CPA, EA, JD, Master’s degree in business administration, finance, economics, computer science, information systems or engineering, Quantitative Economics or Quants Exposure to the financial services industry, accounting/finance/tax, tax or finance performance improvement, tax software development and/or implementation Ability to take ownership of assigned tasks and monitoring them until completion, including documenting requirements, configuration, testing, debugging, project profitability, and tax systems and process configuration Ideally, you’ll also have Demonstrate professionalism through a positive and cooperative attitude while maintaining the confidential and proprietary nature of client relationships and work products Take ownership of analytical initiatives and exercise sound judgment when making technical and business decisions Work effectively under pressure while adhering to strict deadlines Contribute to the overall success of the team by developing a strong understanding of EY methodologies and tools, sharing knowledge, and continuously improving analytical delivery approaches Challenge traditional approaches and identify opportunities for innovation, automation, and advanced analytics Coach and mentor junior team members, helping EY continue to build an inclusive, high-performing data and analytics culture What we look for We are seeking data science professionals who can independently deliver analytical solutions, translate complex data into meaningful insights, and contribute to the continued growth of our Tax Technology practice. What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $86,900 to $143,400. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $104,300 to $163,100. 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 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. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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 Oman