Data Scientist - Data Analyst at EY

Heraklion, Region of Crete, Greece -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Data Management, Predictive Modeling, Optimization, Statistical Techniques, Machine Learning, Data Visualization, SQL, R, Python, SAS, SPSS, Communication, Presentation, Client Service, Technical Writing

Industry

Professional Services

Description

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. Join EY and help to build a better working world. Being part of EY in Greece means being part of a team which has been announced as Top Employer for the third consecutive year, certified as a Great Place to Work for a second year in a row, and awarded as Best Workplace in Professional Services & Consulting for the first time! 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 our continuously growing team, which employs over 2.600 professionals in Greece, to experience great flexibility under our hybrid operating model across our offices in Athens, Patras, and Thessaloniki and help to build 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. 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 contribute to presentations of modeling results and project proposals. To qualify for the role you must have Excellent academic background, including at a minimum a Bachelor or a Master’s degree in Data Science, Business Analytics, Statistics, Mathematics, Econometrics, Engineering, Operational Research, Computer Science, or other related field with strong quantitative focus. 2-7 years of working or related research experience (evidenced by PhD and/or relevant publications, awards, or completed project credentials) with preferably at least 2 years in a commercial/industrial context and particular focus on the following: Data modeling and Management, integration and manipulation of large disparate datasets (i.e. structured, semi-structured or unstructured) Predictive modeling and optimization Strong skills in databases, statistical packages for data manipulation and in development of predictive and prescriptive models (i.e. R, Python, SAS, SPSS, SQL). Experience in designing, building, testing and validating models using a large number of statistical and other quantitative techniques. Ideally, you’ll also have 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. Skills and attributes for success Strong 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. 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 we offer you Ability to Shape your Future with Confidence by: Developing your professional growth: You'll have unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications. You will experience personalized coaching and feedback, and gain exposure to international projects, through our expansive global network, empowering you to define and achieve your own success. Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth. These advanced AI tools will empower you to focus on higher-value work and meaningful interactions, enriching your professional experience like never before. Empowering your personal fulfilment: We focus on your financial, social, mental and physical wellbeing. Our competitive rewards package, depending on your experience, includes cutting-edge technological equipment, ticket restaurant vouchers, a private health and life insurance scheme, income protection and an exclusive EY benefits club card that provides a wide range of discounts, offers and promotions. Our flexible working arrangement (hybrid model) is defined based on your own preferences and team’s needs, and we enjoy other initiatives such as summer short Fridays and an EY Day Off. Our commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact. Our pride lies in working at EY as one of the most recognized employers in Greece through our multiple awards received over the last 3 years (Top Employer, Great Place to Work and Best Workplace in Professional Services & Consulting). Fueling an inclusive culture: We prioritize a diverse, equitable and inclusive environment, where you’ll be embraced for who you are and empowered to use your voice to help others find theirs. Are you ready to shape your future with confidence? Apply today. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. #li-remote

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Responsibilities

The role involves identifying appropriate modeling techniques to address critical business questions and using analysis to derive well-substantiated business insights for client decision-making. Responsibilities also include employing data management and visualization techniques to present insights derived from the data.