Risk Analytics - Senior - Data Scientist

EY; Tirupati; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

EY is seeking a Data Scientist in Risk Consulting to advance AI capabilities for clients. The role emphasizes transforming data into strategic insights, building ML models, and applying NLP and generative AI techniques across sectors.

You will work with Python, ML libraries, and cloud tools to deliver end-to-end data science solutions for EY clients. The candidate should have 2+ years of experience, a quantitative degree, and familiarity with data mining, model evaluation, and modern AI

Qualifications

• Degree in Computer Science, Mathematics or similar quantitative field.
• Minimally 2 years of relevant experience.
• Strong knowledge of data mining and machine learning algorithms and statistical techniques.
• Experience in 3–4 of: ML/DS workflows, NLP basics, generative AI projects, LLMs, RAG/KGs, vector databases, Python development.

Responsibilities

• Turn data into an asset for clients.
• Perform data science analysis to provide insights using diverse techniques.
• Apply ML/AI libraries and Python in project work.
• Manage end-to-end data science activities and research approaches.
• Collect and combine data from multiple sources and visualize insights.
• Stay updated on business and AI industry trends.
• Build statistical and ML models for client projects across markets.

Skills

Data science

Python

Machine learning

NLP

Generative AI

Vector databases

Streamlit

Flask

Azure

AWS

Data visualization

Analytical thinking

Education

Degree in Computer Science or Mathematics

Tools

Streamlit

Flask

Azure

AWS

Job description

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

Do you have sharp analytic skills? Do you know how to solve problems? Do you know how to develop innovative solutions? We’re looking for someone like that who can:

• 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 of 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

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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.

Requirements