Tax Technology and Transformation - Advanced Technologies - Data Scientist - Analyst #1806

Location

New York, Dallas

The opportunity

EY’s Tax Technology and Transformation provides services to help companies address challenges posed by existing and emerging technologies—particularly the increasing data burden—by enhancing efficiency and transforming tax functions into cost-effective operations. The team helps businesses navigate the digital landscape of tax transparency, compliance, and audit methods, including key offerings such as:

• Digital tax transformation
• Tax applications-as-a-service
• Tax data improvement
• Analytics enhancement
• Emerging technologies such as robotic process automation (RPA), artificial intelligence (AI), and blockchain

The role also supports tax technology program mobilization, custom application development, strategy road mapping, implementation of direct and indirect tax systems, post-transaction operational services, and assessments of tax functions. In today’s corporate environment, implementing a transaction tax calculation engine is important for automating tax determination and compliance across various transactional systems, including ERP applications and custom solutions.

Key responsibilities

We are seeking an ambitious, self-motivated data scientist to discover insights from large datasets and deliver improved products for clients. The primary focus is applying data mining techniques, performing statistical analysis, and building high-quality prediction systems integrated with existing products. You will collaborate on national and global engagements, requiring strong communication skills, attention to detail, and the ability to drive results.

• Select features and build/optimize classifiers using machine learning techniques
• Apply Large Language Model (LLM) prompting and deployment techniques
• Design and build AI agents to automate and enhance complex business tasks
• Integrate AI components into full-scale solutions to support business processes
• Perform data mining using state-of-the-art methods
• Enhance data collection procedures to capture information relevant for analytics systems
• Process, cleanse, and verify the integrity of data used for analysis
• Conduct ad-hoc analysis and present results clearly

Depending on your skills and ambitions, you may support client projects ranging from building leading-edge machine learning models to designing and implementing robust data pipelines capable of handling multinational, enterprise-scale data. This role supports developing a highly trained team while emphasizing quality and commercial value in a highly regulated environment.

Skills and attributes for success

To qualify, you must have:

• A bachelor’s degree in data science, information systems, tax technology, management information systems, computer science, or a related field, plus at least one year of related work experience
• An approved technical certification, CPA license, membership to the state Bar, or progress toward attaining those credentials
• A passionate interest in data science and its role in organizations
• Excellent communication and business writing skills
• A strong problem-solving mindset and an entrepreneurial approach to work
• Strong organizational and time management skills, with exceptional client-serving consulting skills
• The desire and demonstrated ability to provide leadership within a team
• Willingness to travel as needed and work in a balanced hybrid environment
• Strong understanding of machine learning techniques and algorithms (e.g., Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), Random Forests, etc.)
• Strong command of current developments in Artificial Intelligence, including Generative AI and AI agents
• Hands-on experience with LLMs and AI agents
• At least 1–2 years of experience with Python
• Essential knowledge of the Python toolkit (e.g., Pandas, NumPy, Jupyter Notebooks)
• Experience with data visualization tools such as PowerBI, Seaborn, or Matplotlib
• Experience with one of the following: SQL and NoSQL database technologies, SQL Server, MongoDB, Databricks, or Snowflakes
• Strong scripting and programming skills, including writing clean code and understanding Object-Oriented Programming concepts
• Ownership of assigned tasks through completion, including documenting requirements, configuration, testing, and debugging
• Ability to identify opportunities to automate manual tasks using existing financial/tax systems and emerging technologies
• Ability to consolidate data to make analysis and planning more efficient
• Focus on improving reporting capabilities to help clients evaluate risk and capitalize on opportunities
• Willingness to support project team members to ensure timely delivery of outputs

Ideally, you will have:

• Experience with Apache Spark, Databricks, Snowflakes, or other data tools
• Experience working in Microsoft Azure Cloud environment, AWS, GPT, or another cloud environment
• Experience developing ETL solutions using SSIS or other tools
• ERP experience, including SAP and/or Oracle (preferred but not required)
• Practical experience or strong theoretical understanding of neural networks and their applications

What we look for

We are looking for knowledgeable data science professionals passionate about turning data into actionable insights. You will need strong business acumen and a strategic vision, and the ability to apply those skills to develop your team.

Apply today. EY accepts applications for this position on an ongoing basis.

What we offer you

EY will help develop future-focused skills and provide world-class experiences in a flexible environment and a diverse, inclusive culture of globally connected teams. A comprehensive compensation and benefits package is provided, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

The base salary range for this job in all geographic locations in the US is $76,600 to $126,300. The base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento) is $91,800 to $143,400. Individual salaries within these ranges are determined based on factors including education, experience, knowledge, skills, and geography.

EY operates a team-led and leader-enabled hybrid model. The expectation for most people in external, client-serving roles is to work in person 40–60% of the time over the course of an engagement, project, or year.

Under a flexible vacation policy, you decide how much vacation time you need based on your personal circumstances. You will 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 physical, financial, and emotional well-being.