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

Ernst & Young Advisory Services Sdn Bhd; New York (NY); Hybrid; USD 77,000 - 143,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Data Scientist - Analyst in New York to help uncover insights from large data sets and deliver advanced analytic products. The role emphasizes applying data mining, statistical analysis, and building predictive systems integrated with EY products.

Collaboration will span national and global teams, requiring strong communication and detail orientation in a balanced hybrid work model. The position requires 1+ year in data science, experience with Python, ML algorithms, and data

Qualifications

• A bachelor's degree in data science, information system, tax technology, MIS or CS or related field and a minimum of one year of related work experience.
• Approved technical certification, CPA license or membership to state Bar or progress to attaining those.
• A passion for data science and its role in organization.
• Excellent communication and business writing skills.
• Entrepreneurial approach and problem-solving orientation.
• Strong organizational and client-facing skills.
• Willingness to travel and work in a balanced hybrid environment.
• Knowledge of ML techniques like regression, SVM, NB, RF, etc.
• Up-to-date AI knowledge including Generative AI and AI agents.
• Hands-on experience with LLMs and AI agents.
• Strong Python skills and Pandas/NumPy toolkit knowledge.
• Experience with data visualization tools (PowerBI, Seaborn, Matplotlib).
• Experience with SQL/NoSQL databases (SQL Server, MongoDB, Databricks, Snowflake).
• Ability to automate tasks and consolidate data for analysis.
• Focus on improving reporting capabilities.

Responsibilities

• Select features and build/optimize classifiers using ML techniques.
• LLM prompting and deployment.
• Design/build AI agents to automate complex tasks.
• Integrate AI components into full-scale solutions.
• Enhance data collection for analytics.
• Data cleansing and verification for analysis.
• Perform ad-hoc analyses and present results clearly.

Skills

Machine learning

LLM prompting

AI agents

Python

Pandas

NumPy

Jupyter Notebooks

PowerBI

SQL

NoSQL

Spark

Databricks

Azure

Cloud

ETL

Neural networks

OOP

Education

Bachelor's in data science

Related field

Tools

SQL Server

MongoDB

Databricks

Snowflake

Job description

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

Location: New York

Other locations: Anywhere in Region

Date: Aug 11, 2026

Requisition ID: 1725693

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.

Will you shape the future or will the future shape you?

The opportunity

Tax Technology and Transformation provides services to help companies address the challenges posed by existing and emerging technologies, particularly the increasing data burden, by enhancing efficiency and transforming tax functions into cost-effective operations. The aim is to assist businesses in navigating the digital landscape of tax transparency, compliance, and audit methods while tackling pressing challenges. Key offerings include:

• digital tax transformation,
• tax applications-as-a-service,
• tax data improvement,
• analytics enhancement, and
• emerging technologies like robotic process automation (RPA), artificial intelligence (AI), and blockchain.

Additionally, services encompass 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 evolving corporate environment, implementing a transaction tax calculation engine is crucial for automating tax determination and compliance processes across various transactional systems, including ERP applications and custom solutions.

Key responsibilities

We are looking for an ambitious, self-motivated data scientist who will help us discover the information hidden in vast amounts of data and help us deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis and building high quality prediction systems integrated with our products. You will be expected to team on a national and even global scale, so strong communication skills, attention to detail, and ability to effectively drive results are essential.

• Selecting features and building and optimizing classifiers using machine learning techniques
• Large Language Models (LLM) prompting and deployment techniques
• Designing and building AI Agents to automate and enhance complex business tasks
• Integration of AI components into full-scale solutions to support business processes
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner

Depending on your unique skills and ambitions, you could be supporting various client projects, ranging from assisting in the production of leading-edge machine learning models, to designing and implementing robust data pipelines that can handle data at a multinational, enterprise scale. Whatever you find yourself doing, you will contribute and help toward developing a highly trained team, all the while handling activities with a focus on quality and commercial value. This is a highly regulated industry, so it is all about maintaining our reputation as trusted advisors by taking on bold initiatives and owning new challenges.

Skills and attributes for success

To qualify for the role, you must have

• A bachelor's degree in data science, information system, tax technology, management information systems or computer science or related field and a minimum of one year of related work experience
• Approved technical certification, CPA license or membership to state Bar or progress to attaining those mentioned
• A passionate interest in data science and its role in organization
• Excellent communication and business writing skills
• A natural flair for problem solving and an entrepreneurial approach to work
• Strong organizational and time management skills, with exceptional client-serving consulting skills
• Desire and demonstrated ability to provide leadership within a team
• Willingness to travel as needed, and working in a balanced hybrid environment
• Strong understanding of machine learning techniques and algorithms, such as Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), Random Forests, etc.
• Strong command and up-to-date knowledge of the latest developments in the field of Artificial Intelligence, including but not limited to Generative AI, and AI Agents.
• Hands-on experience with LLMs, and AI Agents
• Strong working knowledge and at least 1-2 years of experience with Python
• Strong knowledge and experience using the Python toolkit (Pandas, NumPy, Jupyter Notebooks, etc.) are essential
• Experience with data visualization tools, such as PowerBI, Seaborn, Matplotlib, etc.
• Experience with one of the following:SQL and NoSQL database technologies, SQL Server, MongoDB, Databricks, or Snowflakes
• Strong scripting and programming skills. Ability to write clean code and understand Object Oriented Programming concepts.
• Ownership of assigned tasks and monitoring them until completion, including documenting requirements, configuration, testing and debugging.
• Ability to identify ways to automate manual tasks using existing financial or tax systems and emerging technologies
• Ability to consolidate data to make analysis and planning more efficient
• Focus on improving reporting capabilities to enhance our clients' ability to evaluate risk and capitalize on opportunities
• Willingness to support project team members in any way needed to help ensure timely completion of deliverables

Ideally, you will have

• Experience with Apache Spark, Databricks, Snowflakes or other data tools
• Experience working in the Microsoft Azure Cloud environment, AWS, GPT or other 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 with a passion for turning data into actionable insight. You will need strong business acumen and a firm strategic vision, so if you are ready to use those skills to develop your team, this role is for you.

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. Learnmore .

• 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 $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 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.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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 [e-mail] .

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.