EY Data Scientist - Manager in All, United Arab Emirates
Title: Data Scientist - Manager
Job Number: DUB002XU
Our Transaction Advisory Services (TAS) team works with clients to manage their capital agenda to drive competitive advantage and increased returns. As part of a global team of 10,000 professionals in 100 countries you will advise clients on preserving, optimizing, raising or investing capital. Major groups (or, as we call them, sub-service lines and competencies) within TAS include Mergers and Acquisition Services, Project Finance & Infrastructure, Restructuring Services, Operational Transaction Services, Transaction Support, Corporate Finance Strategy, Transaction Tax, Valuation, Business Modelling, Decision Analytics and Economic Advisory.
The Business Modelling (BM) team comprises experienced Business Modellers, Economic Advisory and Decision Analytics professionals. We help clients solve the key business issues and challenges they face in today’s rapidly changing, ever evolving, complex world. You will participate in solving these issues through the model build, review and implementation process. You will focus on performing Decision analytics activities that underpin and drive critical decision making and improve strategic outcomes for our clients. We collaborate extensively with other EY Groups and colleagues around the world, sharing ideas and best practice. Exposure to this extensive global network gives you the opportunity to work alongside and learn from people with a vast array of technical, regional and industry knowledge and experience. Working with the BM Team will give you practical ‘hands-on’ engagement, client and team management experience.
EY is the market leader in the provision of modelling and analytics solutions to support effective decision making, with a business modelling practice of about 500 professionals globally. EY’s TAS Decision Analytics team develops actionable insight from data, supported by advanced skill in Decision analytics and model development. Deploying industry-leading analytics, this practice area provides insight to executives making strategic and operational decisions about their businesses. It forms part of the Valuations & Business Modelling business line. We are seeking Data Scientist for our MENA region to support our growth plans for the decision analytics business. This professional is likely to come from a range of related backgrounds covering Data Research, Statistics and Business or Decision Analytics. This professional has to have experience on the development of predictive and prescriptive analytics for different sectors, must include financial sector and telco. Experience on Transaction Advisory Sectors would be appreciated as well. Our projects often involve managing multiple stakeholders and high degrees of complexity and uncertainty. Decision making in this environment requires strong client management and communication skills, rigorous analytical techniques and excellent data handling skills.
Role and Responsibilities
Clear understanding on how data analytics will impact business operations and the benefits of applying it;
Understanding of region demand on data and data analytics;
Have deep experience on development of statistical models on predictive sciences using different techniques(R programing – regression, Raroc, etc) and tools (SAS, SPSS, Hadoop, etc);
Develop decision analytics solutions using new methodologies and techniques that will bring innovation to the region in terms of analytics;
Curiosity about data including customer data and market data;
Develop white papers on the analytical space helping on positioning and branding;
Have a track record of building predictive analytics for different sectors not only in the TAS service line;
Provide counselling and mentoring support to the team members;
Knowledge of Decision Analytics techniques;
Solid understanding of Data Strategy , including data structure, data organization and access;
Strong academic record; ideally a professional qualification, Master’s degree, MBA or PhD, from reputable institutions. Financial, Business, Economic, Computer Science, Operations Research, Business Analytics, Statistics, Mathematics, Physics, Engineering or similar degrees are a significant advantage.
Strong Analytics knowledge, including tools (SAS, SPSS, R, Hadoop) and methodologies;
Excellent problem solving, project management, facilitation and interpersonal skills
Team player with the ability to build effective relationships at all levels
Willing and able to travel across the region 0-35% of the time
Approximately 7 years of data analytics and decision analytics
The professional has to have experience in delivering decision analytics / Operations Research solutions based on techniques which could include some of the following:
Operations Research (simulation, optimisation, scheduling, inventory control, queuing theory, risk analysis, decision analysis, system dynamics, etc)
Statistics (e.g. price elasticity analysis, forecasting, predictive analytics)
Data mining, data visualisation and data management
Database modelling including use of emerging Big Data technologies(Hadoop)
Experience of analytics packages, including statistics packages such as SPSS or SAS, visualisation packages such as Tableau or Spotfire
Strong knowledge of SQL and relational databases, as well as knowledge of predictive modelling technologies such as SAS Enterprise Miner, SQL Server 2005 DMX etc
Technically competent in the following areas: data collection and load, data quality assessment, data cleansing, complex data transformation, relationship profiling, sampling and extrapolation, statistical modelling, segmentation, structured data mining, text mining and analytical matching
Has strong IT skills to programmer level, covering a range of different technologies relating to the techniques above