Experienced Consultant in Data Science - Financial Sector, M/F - Paris

Key Skills

Aartificial intelligence, Agile methodologies, Big Data Technology, C Programming, C++, Continuous Integration & Continuous Delivery - CI/CD, Data Analysis, Data Analytics, Data Engineering, Data science techniques, Data Visualization, Design, DevOps, Java Programming, logo, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Scala Programming, SQL, Teamwork

Job Description

By working in a growing team on the various Data & Analytics and Innovation businesses, you participate in the development of high value-added missions with our clients (data management, transformation process, definition of means, machine learning, NLP, architecture, robotics, quantitative analysis, datamining, big data, data science, algorithms, blockchain, artificial intelligence, digital, etc.).

Your reach will truly expand globally and you will be able to gain valuable experience, benefit from extensive opportunities for professional development, while having all the support you need to reach your potential.

This announcement is intended for candidates specializing in Data Science, but we are looking for experienced and mobilized profiles on the broad spectrum of data professions.

Your missions

Depending on your background, your experiences and your expertise, you will be required to bring your skills to teams engaged in various types of consulting assignments:

• Framing and functional analysis of data transformation projects, whether data science or setting up a data platform
• Support for the management, coordination and management of data projects
• Definition of customer strategy in terms of artificial intelligence (use cases, trajectories, roadmap, etc.) 
• Design and implementation implementation of AI solutions from ideation to industrialization through feasibility studies, data preparation and modeling
• Design and implementation of NLP solutions, machine learning, deep learning…
• Design, development and implementation of tools or solutions for reporting, decision support, data visualization in the areas of customer, digital , compliance…
• Mapping of data transformation processes
• Studies and choice of big data solutions and platforms, analytics…
• Monitoring the evolution of methods, practices, tools…

You can continue to develop skills in the areas of your choice thanks to the EY training approach.

Your profile

Graduated with a master's degree in data science or data management, in technology applied to big data, or graduated from an engineering school or a business school, you are attracted by challenges of the consulting profession and teamwork dedicated to consulting in Data & Analytics & Innovation.

You have between 3 and 8 years of experience, preferably in the financial sector. Also according to your profile:

DataScientist

• You are able to develop algorithms and statistical models, machine learning or deep learning (classification, regression, clustering, supervised and unsupervised learning, etc.), to respond to concrete issues
• You know how to handle, process and value data whatever their nature (structured and unstructured data) and their volume
• You have strong programming skills, particularly in Python and SQL and possibly master other languages such as R or Scala or C/C++ or Java or Go, … 
• Mastery of versioning tools and processes (notably git), CI/CD and DevOps is a plus.
• Experience or an appetite for data engineering or web development would be appreciated

Whatever your profile:

• You have excellent interpersonal skills, you know how to combine the sense of analysis and synthesis, rigor and method
• You are dynamic, autonomous and responsible
• Curious , you show team spirit and leadership
• You like to undertake, develop innovative solutions and approaches
• Mastery of tools, methodologies and concepts of monitoring and project management is a plus.
• A thorough knowledge of the financial sector is a plus