EY - GDS Consulting - AI and DATA - Data Science- Senior

pspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0pxAt 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. /span/span/pp /pp /pp /pp /ppstrongspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptJob Title: Data Scientist - Senior/span/strong/pp /ppstrongspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptExperience: 3-7 years/span/strong/ppspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptJob Summary: We are seeking a talented Data Scientist to join our team in the banking and insurance sectors. The ideal candidate will have a strong background in data analysis and modeling, with hands-on experience in SAS, R, Python, and Generative AI (GenAI). This role will focus on leveraging data to drive insights and support decision-making processes within the organization./span/pp /ppstrongspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptKey Responsibilities:/span/strong/pullispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptData Analysis: Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptModel Development: Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptGenerative AI Applications: Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCollaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptData Visualization: Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCloud Integration: Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptContinuous Learning: Stay updated on industry trends, emerging technologies, and best practices in data science and analytics./span/li/ulp /ppstrongspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptQualifications:/span/strong/pullispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptEducation: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptExperience: 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptTechnical Skills: Proficiency in SAS, R, and Python for data analysis and modeling./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptGenerative AI Knowledge: Familiarity with Generative AI concepts and applications./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCloud Proficiency: Experience with Azure services for data analytics and model deployment./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptAnalytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCommunication Skills: Excellent communication skills, with the ability to present findings clearly and effectively to diverse audiences./span/li/ulp /ppstrongspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptPreferred Skills:/span/strong/pullispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptExperience with data visualization tools (e.g., Tableau, Power BI) to create insightful dashboards and reports./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptKnowledge of machine learning algorithms and techniques./span/lilispan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptFamiliarity with data governance and compliance standards in the banking and insurance sectors./span/li/ulp /ppspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0pxbEY | Building a better working world /b/span/span/ppbrspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0px brEY 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.  /span/span/ppbrspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0px brEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  /span/span/ppbrspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0px brWorking 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.  /span/span/p