๐ผ Company: EY
๐ Location: Mumbai
๐ฏ Experience: 2โ7 Years
โฑ๏ธ Notice Period: Immediate Joiners to 30 Days
๐ฆ Engagement: Private Equity Domain
๐ป Core Skills: SQL, Python, Claude/GenAI, LLM, RAG
โญ Preferred: Full Stack Development
๐ฉ Application: Ekta.Srivastava1@in.ey.com
๐ข About EY
EY is a global professional services organization operating across assurance, consulting, strategy and transactions, tax and technology-enabled services. EY says its teams work across more than 150 countries and territories, combining industry knowledge, data and technology to help clients solve complex business challenges.
Technology and AI are increasingly central to EY’s business. Its technology careers focus on areas including data and analytics, AI, intelligent automation, cloud, cybersecurity and software engineering. EY also highlights AI-augmented learning and development, including programs covering Responsible AI, Applied AI and AI Engineering.
๐ Job Details
๐น Role: Data & AI Professional
๐น Experience: 2โ7 Years
๐น Location: Mumbai
๐น Joining: Immediate to 30 days
๐น Domain: Private Equity
๐น Mandatory: Strong SQL, Python, Claude/GenAI, LLM/RAG experience
๐น Preferred: Full Stack Development
๐น Focus: Data-driven problem solving, analytics and AI solutions
๐ Why This Role Is Good for Your Experience?
This is more than a conventional SQL or Python position. ๐ The combination of data engineering/analytics + GenAI + LLM/RAG + Private Equity can help professionals develop a highly relevant profile for the next generation of consulting and technology roles.
Working around Private Equity also provides exposure to investment-oriented business problems, where data quality, financial information, analytics and decision-making are critical. EY’s current Private Markets technology roles similarly emphasize data management, analytics, business requirements, UAT, process improvement and technology solutions across private markets.
๐ง Skills Required
โ
Advanced SQL โ joins, CTEs, subqueries, window functions, aggregations and query optimization
๐ Python โ data manipulation, automation, APIs, scripting and problem-solving
๐ค Generative AI โ practical understanding of LLM-powered applications
๐งฉ LLM โ prompting, model capabilities, limitations and application architecture
๐ RAG โ embeddings, chunking, retrieval, vector databases and context injection
๐ฌ Claude โ practical experience using Claude/Anthropic tools for AI-assisted workflows or applications
๐ API Integration โ REST APIs, JSON and authentication concepts
๐ Data Analytics โ data cleaning, validation, transformation and interpretation
๐ป Full Stack Development โ frontend/backend integration is a strong advantage
๐ฆ Private Equity awareness โ investments, portfolio companies, funds, valuations and financial data concepts
๐ฃ๏ธ Consulting skills โ communication, requirement understanding, structured problem solving and stakeholder management
๐ฏ Preparation Tips
๐น 1. Make SQL your strongest area: Practice complex joins, CTEs, window functions, ranking, duplicate removal, date calculations and business-oriented SQL problems. Don’t prepare only syntax; explain why your query is efficient.
๐น 2. Prepare Python for real data problems: Revise Pandas, NumPy, dictionaries/lists, functions, exception handling, file processing and API integration. Be ready to write a small data-transformation script.
๐น 3. Understand RAG end-to-end: Prepare a simple explanation covering document ingestion โ chunking โ embeddings โ vector storage โ retrieval โ prompt/context construction โ LLM response โ evaluation. ๐
๐น 4. Know Claude beyond prompting: If you have used Claude, explain the actual business problem, how you integrated it, what inputs it received, how outputs were validated and what measurable improvement it delivered.
๐น 5. Prepare LLM fundamentals: Know hallucination, context window, temperature, tokens, embeddings, prompt engineering, grounding, evaluation and responsible AI.
๐น 6. Connect AI to Private Equity: Think about use cases such as extracting information from investment documents, portfolio-company analysis, due-diligence document search, financial data summarization and automated research. ๐ฆ
๐น 7. Prepare one complete project story: Explain the architecture, your personal contribution, technologies, data flow, challenges, security considerations and business outcome.
๐น 8. If you have full-stack experience, use it: Prepare how your frontend, backend, APIs, database and AI/LLM components communicate.
๐ค Expected Interview Rounds at EY
๐น Round 1 โ Recruiter/HR Screening: Experience, current organization, notice period, CTC, expected CTC, location and relevant technology exposure.
๐น Round 2 โ Technical/Data Round: SQL, Python, data structures, analytical problem-solving and project-based questions.
๐น Round 3 โ AI/GenAI Technical Round: Claude, LLMs, RAG, prompt engineering, embeddings, vector databases and practical GenAI architecture.
๐น Round 4 โ Case Study/Managerial or Client Round: A business problem may be discussed to assess structured thinking, communication, consulting mindset and ability to translate technology into business value.
๐น Round 5 โ Final HR/Leadership: Role alignment, compensation, availability and overall fit.
๐ฐ Salary Range
EY has not published compensation for this exact Data & AI hiring post. Current third-party data shows EY Senior Consultant salaries in Mumbai commonly around โน16โ18 LPA for 4โ6 years in recent submissions, although individual reports vary considerably. Indeed reports an EY Mumbai Senior Consultant average of approximately โน16.2 LPA, while current EY Data Engineer submissions show substantial variation by experience and location.
๐ฐ Practical expected range for this opportunity: approximately โน8โ22 LPA, depending heavily on experience level, designation, SQL/Python depth, GenAI/RAG implementation experience, full-stack capability and interview performance. This is a market-based estimate, not an official EY salary range.
๐ Resume Tips
๐ฏ Start your summary with SQL + Python + GenAI/LLM/RAG, not a generic โData Analystโ headline.
๐ Mention specific Python libraries, frameworks or AI tools you have actually used.
๐ค Highlight Claude/Anthropic, LLM or RAG projects prominently if you have production or professional experience.
๐ Describe your RAG architecture rather than simply writing โRAGโ in the skills section.
๐ป If you have full-stack experience, show the frontend, backend, APIs and database technologies separately.
๐ฆ Mention BFSI, investment, financial-services or Private Equity exposure if applicable.
๐ Quantify business impact: reduced processing time, automated analysis, improved data quality, reduced manual effort or accelerated reporting.
๐ฉ How to Apply?
๐ง Ekta.Srivastava1@in.ey.com
Interested candidates should send their updated resume to:
๐ง Ekta.Srivastava1@in.ey.com
Include these details in the email:
๐น Current Organization:
๐น Total Years of Experience:
๐น Notice Period:
๐น Current CTC:
๐น Expected CTC:
๐ Final Takeaway
This EY opportunity is a strong fit for professionals who want to move beyond traditional analytics into Data + AI + GenAI consulting. The combination of SQL, Python, Claude, LLM/RAG and Private Equity creates a valuable profile for the rapidly expanding AI-driven financial-services ecosystem. ๐ป๐ค๐ฆ Candidates who can demonstrate real project ownership and clearly connect technical solutions with business outcomes should be especially well positioned for this opportunity.
