Ernst & Young Advisory Services Sdn Bhd
Risk Consulting - Protect Tech - Senior - Data Scientist
Ernst & Young Advisory Services Sdn Bhd, Senior, Ohio, United States
Risk Consulting - Protect Tech - Senior - Data Scientist
Location: Noida
Other locations: Primary Location Only
Date: Sep 8, 2025
Requisition ID: 1598219
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.
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.
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
Qualifications
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 AWS (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.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Provider
Description
Enabled
SAP as service provider
"route" is used for session stickiness
"careerSiteCompanyId" is used to send the request to the correct data center
"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
#J-18808-Ljbffr
Other locations: Primary Location Only
Date: Sep 8, 2025
Requisition ID: 1598219
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.
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.
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
Qualifications
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 AWS (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.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Provider
Description
Enabled
SAP as service provider
"route" is used for session stickiness
"careerSiteCompanyId" is used to send the request to the correct data center
"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
#J-18808-Ljbffr