Financial Services - Senior - Data Scientist - EDGE

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.