Risk Analytics - Senior - Data Scientist

EY; Dadri; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

EY is seeking a Risk Consulting – Digital Risk Senior with a focus on Artificial Intelligence and Data Science to help define safe, scalable AI solutions for clients across sectors. The role emphasizes turning data into actionable insights, building ML models, and delivering end-to-end data science projects using Python and AI libraries.

Ideal candidates have 2+ years of relevant experience, strong ML/NLP foundations, and experience with generative AI, cloud platforms, and model risk.

Qualifications

• Degree in Computer Science, Mathematics or similar quantitative field.
• Minimally 2 years of relevant experience
• Strong knowledge of data mining and machine learning including regression, trees, clustering
• Experience in 3-4 of listed areas (ML, NLP, Generative AI, Q&A, vector DBs)
• Experience with NLP basics and transformer architectures
• Experience with Generative AI projects and LLMs
• Familiarity with retrieval augmented generation or knowledge graphs
• Proficient in Python for AI/data science tasks

Responsibilities

• Turn data into an asset for clients.
• Rapidly perform data science analyses to provide insights.
• Apply experience in Python, ML and AI libraries.
• Manage end-to-end data science projects from requirements to delivery.
• Collect and combine data from multiple sources and create visuals.
• Stay updated on business and industry trends.
• Build and evaluate statistical and ML models for diverse markets.

Skills

Python

Data Science

Machine Learning

NLP

LLMs

Vector Databases

Flask

Streamlit

Azure

AWS

Statistics

Education

Bachelor's in CS/Math

Masters preferred

Tools

Streamlit

Flask

Azure

AWS

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Risk Consulting – Digital Risk Senior – Artificial Intelligence - Data Scientist

We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and years of practical experience developing Artificial Intelligence (AI) capabilities for and with clients across sectors to ensure the highest level of execution and satisfaction for our clients. Come help define the future of AI while enabling safe innovation at pace.

Your Key Responsibilities

• Turn data into an asset for clients
• Rapidly perform Data Science analysis to provide insights using a variety of techniques
• Apply experience and expertise in several tools such as Python, Machine Learning and AI libraries, etc.
• Perform full lifecycle of Data Scientist activities, including conceptual and operational aspects
• Manage end to end projects - clarify requirements and devise research approaches
• Collect and combine data from multiple sources, analyze it for insights and produce great visuals
• Stay on top of current business and industry trends
• At the heart of this project is the ability to systematically analyze and build statistical and machine learning models for our clients across markets. We are looking for talented and experienced Data Scientists to bring innovation at EY

To qualify for the role, you must have

• Degree in Computer Science, Mathematics or similar quantitative field;
• Minimally 2 years of relevant experience
• Strong knowledge and experience of data mining and machine learning - algorithms, regression techniques, decision trees, clustering, pattern recognition, probability theory, statistical techniques and dimensionality reduction
• Experience in at-least 3-4 of below areas:
  • Machine Learning / Data Science: Basic understanding of machine learning concepts and data science workflows. Familiarity with data preprocessing, feature extraction, and model evaluation.
  • Natural Language Processing (NLP): Basic to intermediate knowledge of NLP techniques, including lemmatization, tokenization, part-of-speech tagging, and named entity recognition. Basic understanding of transformer architecture and its significance in modern NLP tasks.
  • Experience with Generative AI Projects:
  • Hands‑on experience with generative AI projects, specifically those involving large language models (LLMs), Familiarity with different LLMs and their applications.
  • Document Q&A Projects: Experience with question-answering systems and understanding of architectures like Retrieval Augmented Generation (RAG) or Knowledge Graphs (KG).
  • Vectorization and Vector Databases: Understanding vectorization in the context of NLP and machine learning. Experience with vector databases and their use in managing and querying high-dimensional data.
  • Programming and Development: Proficiency in Python, essential for most AI and data science tasks. Experience with developing web applications using Streamlit.. Knowledge of API development with frameworks like Flask.
• Experience with deploying applications on cloud platforms such as Azure and AW, is added advantage
• Strong analytical and problem-solving skills with a passion for research

An ideal candidate would also have below exposure

• leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and related areas at scale
• Experience developing AI systems in either a design, business, or technical capacity
• Experience with model risk management
• Experience with Agile and/or Scrum methods of delivery

What We Look For

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Artificial Intelligence. Above all else, if you have a genuine passion and commitment to building a more responsible technology future, we will greatly welcome your application.

EY | Building a better working world

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Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.