Data scientist - Machine Learning

At EY, we’re all in to shape your future with confidence.   We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. ​ Being part of EY in Greece means being part of a continuously growing team, which has been announced as Top Employer for the fourth consecutive year, certified as a Great Place to Work for the third year in a row, and awarded as Best Workplace in Professional Services & Consulting for the second consecutive time, for our almost 3,000 professionals ! At EY, we’ll develop you with future-focused skills and equip you with world-class experiences through coaching and training programs as well as the use of advanced technology and AI . We’ll fuel you and your extraordinary talents in a diverse and inclusive culture  of globally connected teams Join us as we commemorate 100 years of EY in Greece this year. E xperience great flexibility under our hybrid operating model  across our offices in Athens, Patras, Thessaloniki and Crete and contribute to building a better working world . The opportunity We are currently seeking highly motivated people for our Consulting practice, which is a leading provider of services to financial industry and large corporate clients of all industries. Being part of our AI & Data team, you will work with multi-disciplinary teams across the entire EMEIA region to support global clients.   Your key responsibilities 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, you will use your knowledge and experience to shape solutions to client problems.     To qualify for the role you must have

Solid 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 Previous 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 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 diverse statistical and other quantitative techniques Exposure in 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 Strong analytical, problem solving and critical thinking skills Ability to