Staff - Data Scientist | Lisboa

Key Skills

Java Programming, Analytical and Problem solving, Design, Management, Python Programming, SQL, Agile methodologies, Aartificial intelligence, Machine learning techniques, Data science techniques, Jupyter Notebook, Keras software library, Data Modeling, NumPy, Pandas, TensorFlow, Scikit-learn, ETL frameworks, Data Architecture, MS Dynamics

Job Description

Running a business is all about making intelligent decisions, powered by accurate information. As a Data Science professional, at Data & Technology team, you will be an important part of our diversely talented and highly experienced team. At EY, you’ll be right at the heart of that data science challenge, working with leading business tools and methodologies to provide to some of the most sophisticated clients around.

The opportunity 

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.

Your key responsibilities

• Construction of data architecture; 
• Creation of artificial intelligence models to study variables, find patterns, and design supervised and unsupervised models that point to optimized solutions;
• Demonstrate ability to understand the models results and organize the recommendations to present to the stakeholders;
• Management and analysis of complex data using a variety of tools and technologies;
• Development of indicators;
• Be part of the development of multiple strategic projects for clients of different industries, providing innovative insights and adapting methods and practices; 
• Follow the implementation of specific requirements and guidelines in accordance to local, national and global requirements; 
• Understand EY and its service lines and actively assess/present ways to serve clients; 
• Establish professional and trust relationships; 
• Demonstrate ability to assimilate new knowledge; 
• Contribute to the team’s good productivity and motivation with good communication and cooperation to guarantee the best results. 

Skills and attributes for success

• Strong analytical and problem-solving skills with an ability to think critically and identify creative solutions outside of the box and thrive on new challenges; 
• Excellent communication skills, oral and written;
• Willing to join a young and dynamic team in a challenging environment; 
• A strong work ethic, technical rigor and attention to detail; 
• Professional responsibility, confidentiality and integrity; 
• Efficient, innovative and team-oriented work environment; 
• Dedicated, innovative, resourceful and able to work under pressure; 
• Team player, critical thinking and self-starter. 

To qualify for the role, you must have:

• Academic education in Information Systems and Technologies, Engineering or related areas;
• Master's degree in Data Science is preferable;
• + 2 years of experience in Data Science projects;
• Ability to understand business challenges and to contribute to the specification of functional data science use cases;
• Knowledge about data management technologies and methodologies: data modeling, SQL, ETL;
• Acquaintance of data science technologies and methodologies such as feature engineering; segmentation models, classification models, Machine Learning; 
• Knowledge in some languages (Python), libraries (Scikit-learn, Pandas, Numpy, Keras, Tensor Flow) and Jupyter Notebook. 
• Background in consulting environment will be valued;
• Full English Proficiency.