Financial Services - Senior - Data Scientist - EDGE

EY•Hartford, DC

1d•$86,900 - $163,100•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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