Risk Analytics - Senior - Data Scientist

Job Description

At EY, youll 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 were 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 ScientistWe 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 ResponsibilitiesDo you have sharp analytic skills Do you know how to solve problems Do you know how to develop innovative solutions Were looking for someone like that who can:Turn data into an asset for clientsRapidly perform Data Science analysis to provide insights using a variety of techniquesApply 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 aspectsManage end to end projects - clarify requirements and devise research approachesCollect and combine data from multiple sources, analyze it for insights and produce great visualsStay on top of current business and industry trendsAt 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 EYTo qualify for the role, you must haveDegree in Computer Science, Mathematics or similar quantitative field;Minimally 2 years of relevant experienceStrong knowledge and experience of data mining and machine learning - algorithms, regression techniques, decision trees, clustering, pattern recognition, probability theory, statistical techniques and dimensionality reductionExperience 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 advantageStrong analytical and problem-solving skills with a passion for researchAn ideal candidate would also have below exposureleading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and related areas at scaleExperience developing AI systems in either a design, business, or technical capacityExperience with model risk managementExperience with Agile and/or Scrum methods of delivery What We Look ForWere 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. .

Keyskills :
PythonMachine LearningData ScienceNLPVectorizationProgrammingDevelopmentAI librariesGenerative AI Projects