At EY we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference.
We are currently seeking highly motivated people for our Advisory practice, which is a leading provider of services to financial industry and large corporate clients of all industries. Being part of our Data & Analytics Center of Excellence you will work with multi-disciplinary teams across the entire EMEIA region to support global clients. You will identify appropriate modeling techniques to answer the most critical business questions and use your analysis to infer well substantiated business insights in support of your clients’ decision making. To do that, you will use clients’ in-house data as well as appropriate external data-sources. You will also resort to various data management and visualization techniques to provide insight into the data. Your portfolio of skills covers a wide range of advanced statistical and machine learning techniques for classification, prediction, recommendation, clustering, forecasting, as well as data management, data visualization, and optimization, applied in a commercial context.
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, Automotive and on at least one of the following functions: Finance, Supply Chain, Customer, Social Media, 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.
To qualify for the role you must have
Excellent academic background, including at minimum a master degree in Data Science, Business Analytics, Statistics, Mathematics, Econometrics, Engineering, Operational Research, Computer Science, or other related field with strong quantitative focus
2+ years of working or related research experience (evidenced by PhD and/or relevant publications, awards, or completed project credentials) preferably in a commercial/industrial context’
Hands on development experience with R/Python or related statistical software package including programming skills in building and deploying machine learning models (supervised & unsupervised, time series) and mathematical programming algorithms in supervised, unsupervised and semi-supervised learning techniques
Good understanding of machine learning, predictive modeling and optimization algorithms
Good understanding of data modeling and evaluation
Experience in designing, building, testing and validating highly customized statistical models using a large number of statistical and other quantitative techniques
Exposure with scalable big data based advanced analytics software will be considered
Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences
Fluent English is a pre-requisite knowledge of additional languages will be appreciated
Strong analytical, problem solving and critical thinking skills
Ability to work under tight timelines for multiple project deliveries
Ability/flexibility to travel and work abroad for international projects
What we look for
What’s most important is that you’re dedicated to working with your colleagues as part of a high-performing team. You’ll need to demonstrate enthusiasm, high motivation and passion to develop fast in a multinational working environment. You’ll need to thrive in picking up new skills and talents as you go, so natural curiosity, a lot of questions and the confidence to speak up when you see something that could be improved are essential. If you’ve got the right combination of technical knowledge and communication skills, this role is for you.
What working at EY offers
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer:
• Plenty of training opportunities
• A clear path of progression, tailored to your own unique talents and ambitions
• Exposure to colleagues and senior stakeholders across the business
• The freedom and flexibility to handle your role in a way that’s right for you
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in building a better working world. Apply now.