Associate Director - Markets - NAT - CBS - MKT - Digital Products & Solutions - Bangalore

Requisition Id: 1651166

The opportunity

Our Markets team focuses on providing account teams with the support they need to help drive revenue growth. Our account-centric approach to serving clients starts with knowing about their business and providing tools and enablers to provide consistency on how we identify and align our services and solutions to our clients most pressing issues. We deliver services through one or more of our four global service lines: Assurance, Consulting, Strategy and Transactions and Tax. Our Markets team comprises of Executive Management, Business Development and Brand Media & Communication (BMC).

By following EY methodologies, executing on guidance, and leveraging tools and judicious programs, we bring the necessary rigor to our engagements. And by accessing our latest EY insights, solutions and client conversation tools, we have more meaningful conversations with our clients to help shape their thinking and generate additional value creation.

We assist the executive management in overseeing the firm's operations. Key responsibilities includes:

• Liaising with internal stakeholders to identify priority areas, growth driver solutions, review account plans and to drive growth and market enablement initiatives
• Conceptualising and implementing firm-wide market campaigns to link and align PAN India teams on focus solutions, growth opportunities, etc
• Monitoring firm revenue and pipeline and facilitating management review
• Preparing GTM materials for the firm
• Preparing reports for management review

Your key responsibilities

The Senior Data Scientist will lead the design, development, and deployment of advanced analytics and AI models across EY's product and platform ecosystem. This role requires a strong mix of hands-on modeling skills, applied AI knowledge, and product thinking to deliver real business impact through data. The role will partner closely with product, engineering, and business teams to embed intelligence and automation within EY's core technology assets. Key Responsibilities: Lead development of AI and ML models for applications across risk, compliance, assurance, and advisory domains. Translate business challenges into well-defined data science problems and prototype solutions rapidly. Design, train, and evaluate predictive, generative, and optimization models using state-of-the-art techniques. Collaborate with data engineers to operationalize ML pipelines in cloud-native environments (Azure ML, AWS Sagemaker, Databricks, etc.). Contribute to design of data architecture, feature stores, and reusable model components. Work with product managers and UX teams to ensure outputs are explainable, actionable, and aligned to user needs. Stay current with advances in GenAI, NLP, and agentic systems, and pilot them within relevant EY products. Contribute to model governance, documentation, and compliance with firmwide AI ethics and security standards. Key Requirements: 8-12 years of experience in data science, AI, or applied machine learning roles, with proven experience deploying models in production. Strong foundation in statistics, machine learning, and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn). Proficiency in Python and SQL familiarity with cloud-based ML tooling (Azure ML, Databricks, AWS Sagemaker, or GCP Vertex AI). Experience working on structured and unstructured data, including text and document intelligence. Exposure to GenAI, LLM fine-tuning, or prompt-engineering frameworks preferred. Strong analytical mindset, communication skills, and ability to translate business objectives into technical design. Advanced degree (Master's or PhD) in Computer Science, Data Science, Mathematics, or related field preferred. Why EY: At EY, data science is central to building intelligent, trustworthy, and scalable products. This role offers the opportunity to apply advanced AI and analytics to solve high-impact business problems - shaping the future of digital, data-driven client service delivery.

Skills and attributes

• Bachelor of Technology in Computer Science
• Master of Technology in Computer Science or equivalent
• Master of Science in Data Science
• PhD in Computer Science (big plus)

Experience

• Data Engineering (4+ years)
• Data Analysis (6+ years)
• Machine Learning (8+ years)
• Artificial Intelligence (3+ years)
• Natural Language Processing (2+ years)
• Full Stack Development (4+ years)

What we look for