Digital- GEN AI Nvidia- Senior

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.

Senior Data Science

Job purpose

You will be part of our GDS Assurance Digital helping EYs 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 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.

6 to 9 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

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.