EY Data Scientist - Analyst 

Greece, Attica, Athens 

10817803

underacross our offices in,, and, while benefiting fromand. We prioritizeand, fostering an environment where everyone's unique perspectives are valued, that supports you in building an, and a.

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

• Competitive remuneration package:You’ll be rewarded for your individual and team performance. Depending on your experience, our comprehensive rewards package includes benefits that suit your needs including cutting-edge technological equipment, ticket restaurant vouchers, a private health insurance scheme, life insurance, income protection and an exclusive EY benefits club that provides a wide range of discounts, offers and promotions.
• Flexible working arrangements:We operate under a hybrid working model, which is defined based on both your own preferences and team’s needs, and we enjoy our summers with short Fridays.
• Personalized learning experience and career development: We provide free and unlimited access to educational platforms and EY Badges, support certifications, and provide coaching and feedback, as a part of our Leadership & Development process, all of which can lead to a meaningful impact and success as defined by you.
• Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
• International Experience:Become part of international projects and work along multicultural teams, through our global network.
• Above all, you will be working in one of the Top Employers in Greece for 2023 , awarded by the Top Employers Institute.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

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.