TTT - Data Scientist

EY; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

EY is seeking a senior Data Scientist for Tax Technology Transformation to apply machine learning techniques and build end-to-end models in Python. The role involves collaborating with tax professionals to translate complex requirements into AI solutions and to design systems capable of processing large, structured and unstructured data.

Ideal candidates have hands-on ML experience, strong Python skills, and familiarity with Generative AI/LLMs.

Qualifications

• Must have hands-on involvement across design, development, testing and deployment of AI/ML solutions.
• Experience with Tax applications or related domain is preferred.
• Strong communication and ability to translate requirements into AI/ML solutions.

Responsibilities

• Apply ML techniques to deliver actionable insights and predictive models.
• Own end-to-end model development in Python, including data exploration and feature engineering.
• Design systems that process large datasets for ML and AI integration.
• Collaborate with business users to translate needs into AI/ML solutions.
• Mentor team members on ML/AI best practices and GenAI implementations.
• Develop GenAI-enabled solutions such as AI agents and APIs.

Skills

Machine Learning

Python

Generative AI

LLM

Education

Master’s degree in Statistics/Mathematics

Bachelors / Master’s in Science/Engineering/MCA

Tools

Azure

Azure OpenAI

Python

ML Frameworks

Job description

Job Title: TTT - Data Scientist - Tax Senior

At EY, were 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 TECHNOLOGY TRANSFORMATION – Data Science -Senior

EY GDS’s Tax Innovation, Solutions and Technology (IST) group as well as the Tax Tech Transformation (TTT) team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

The opportunity

EY's GDS IST and TTT team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

GDS IST and TTT team works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seekingSeniorto join our Tax Technology practice.

Your key responsibilities

• Apply machine learning techniques to deliver actionable insights


• Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data


• Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems


• Apply standard statistical methods, simulation models and statistical programming as needed


• Collaborate closely with business users and analysts to translate requirements into AI/ML solutions and present outcomes clearly


• Manage stakeholders and mentor team members in Machine Learning, AI, and best practices


• Design and implement Generative AI–enabled solutions such as AI agents, APIs, and intelligent interfaces, integrating with enterprise GenAI platforms (Azure OpenAI / Azure AI Foundry)


• Hands-on experience in LLM finetuning and optimization, including parameterefficient tuning techniques and systematic evaluation of model quality, latency, and cost in production environments


• Strong expertise in productiongrade prompt and GenAI system design, including prompt templating, chaining, RAG pipelines, guardrails, and reliability patterns for scalable enterprise deployments

Skills and attributes for success

• An overall experience of 4-7 years of which 3 years of hands-on work experience in Machine Learning and Artificial Intelligence


• Strong hands-on experience with ML/AI techniques including regression, decision trees, random forests, classification, clustering, NLP/NLG, deep learning, neural networks, and ARIMA


• Proven experience delivering end-to-end ML projects from development to production


• Expert proficiency in Python, with strong programming, algorithmic, and database skills


• Strong understanding of Generative AI and LLM technologies, including prompt engineering and enterprise LLM integration

To qualify for the role, you must have

• Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA.


• Hands-on involvement across the design, development, testing, and deployment of AI/ML solutions


• Tax application experience

Ideally, you’ll also have

• Exposure to cloud (Azure, AWS) would be good to have.


• Strong verbal and written communication skills.