Digital-GEN AI – Staff
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Job Description
Staff in Data Science at EY working with global clients to provide data insights and support analytics development. Driving analytics solutions and modeling insights across multiyear projects.
Responsibilities:
- 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.
Requirements:
- Excellent academic background, including at a minimum a bachelor or a masters 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.
Benefits:
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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