Digital-GEN AI - Staff

About the job

Digital-GEN AI - Staff 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. Staff, Data Science ... Job purpose You will be part of our GDS Assurance Digital, helping EY’s sector and service line professionals to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. You will support the development of analytical and statistical models, algorithms and associated simulations in order to produce appropriate insight from data. You feel comfortable in driving and proposing approaches and methods to address all aspects of data analytics according to the business question from descriptive to prescriptive and real-time insight. You are familiar with approaches, methods, and tools for: • Developing Analytics-enabled solutions, integrating data science activities with business relevant aspects • Developing approaches, models, and methods to deliver insight from available data • Developing Statistical models, algorithms and simulations • Supporting client-side delivery and integration of analytics components into business processes You will build valued relationships with external clients and internal peers and contribute to the development of a portfolio of business by focusing on high-impact opportunities. You will contribute to presentations of modeling results and project proposals. Bringing experience and unique insight on one or more industry sectors, such as for example Telecommunications, Consumer Products, Retail, Healthcare/Life Sciences, Financial Services, Oil & Gas, Power & Utilities, Government & Public Sector, and on at least one of the following functions: Finance, Supply Chain, Customer, Risk & Compliance, you will use your knowledge and experience to shape solutions to client problems. As a respected professional, you will communicate effectively with EY engagement partners and managers and contribute to building, managing and motivating high-performing teams. Technical skills requirements Excellent academic background, including at a minimum a bachelor or a master’s degree in Data Science, Business Analytics, Statistics, Mathematics, Econometrics, Engineering, Operational Research, Computer Science, or other related field with strong focus on modern data architectures, processes and environments. 3 to 4 years of work experience with focus on the following: • Statistics • Analytics Modelling • Simulation and Optimization • Natural Language Processing • Text Analytics • Visualization techniques and tools • Big Data Architectures • In-Memory Processing • Machine Learning • Deep Learning • Distributed processing Strong technical skills in analytical approaches and tools as well as its associated data environments such as: • SPSS, SAS, Matlab, KNIME etc. • R, Python etc. • Hadoop, Hortonworks, Cloudera, IBM Big Insights etc. • Mapreduce, Spark, Mahout etc. • SQL/noSQL Databases and its manipulation components Additionally, the following will be considered a strong asset: • Software development experiences in Java and/or C/C++ as well as advanced databases. • Experience with Big Data/In-Memory technologies, such as Hadoop (Hortonworks, Cloudera etc.), SAP HANA, IBM BigInsights, Oracle Exalytics. • Experience with scalable big-data based advanced analytics software, such as Apache Mahout or 0xdata H2O. • Experience in Advanced Data Visualization tools, such as Tableau, Spotfire, Qlikview and others for integration between disparate data sources, design, and implementation of KPIs and generation of automatic and scalable visualizations that will facilitate extraction of business insights. • Function, Client or Industry specific data exploitation concepts • Experience in structuring and overseeing program design, development, testing, and debugging activities. • Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. • Strong analytical, problem-solving and critical thinking skills. • Ability to work under tight timelines for multiple project deliveries. EY | Building a better working world.

Requirements

• Data Science
• Statistical Analysis
• Machine Learning
• Analytics Modelling

Qualifications

• Bachelor or master's degree in Data Science or related field

Preferred Technologies

• Data Science
• Statistical Analysis
• Machine Learning
• Analytics Modelling

About the company

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.