Data Scientist - AI (Financial Services), Technology Consulting

Ernst & Young

Job Description

Your Key Responsibilities

Do you have sharp analytic skills? Do you know how to solve problems? Do you know how to develop innovative solutions? We’re looking for someone like that who can:

  • Turn data into an asset for clients

  • Rapidly perform Data Science analysis to provide insights using a variety of techniques

  • Apply experience and expertise in several tools such as Python, Machine Learning and AI libraries, R and SAS

  • Perform full lifecycle of Data Scientist activities, including conceptual and operational aspects

  • Manage end to end projects - clarify requirements and devise research approaches

  • Collect and combine data from multiple sources, analyze it for insights and produce great visuals

  • Stay on top of current business and industry trends

  •        At the heart of this project is the ability to systematically analyze and build statistical and machine learning models for our clients across markets. We are looking for talented and experienced Data Scientists to bring innovation at EY

Skills and Attributes for Success

  • Excellent communication skills

  • Outstanding analytical and problem-solving skills

  • Ability to work in a team

To Qualify for the role, you must have

  • Degree in Computer Science, Mathematics or similar quantitative field;

  • Strong knowledge and experience of data mining and machine learning - algorithms, regression techniques, Bayesian models, decision trees, clustering, pattern recognition, probability theory, stochastic systems, statistical techniques and dimensionality reduction

  • Deep knowledge and experience developing solutions using Deep Learning, Neural Nets, Graph-Nets, Computational Linguistics (NLP, NLU, NLG, Speech) and Computer Vision (Video, Image Processing), Auto-Encoders and Generative Networks.

  • Knowledge of Reinforcement Learning is a plus

  • Understanding and experience in model production using CI/CD and REST API, or similar services for real-time processing

  • Programming experience with Python, R, SAS or other related languages

  • Experience in TensorFlow, PyTorch, H2O or similar framework; expertise in any of these frameworks is a plus

  • Strong analytical and problem-solving skills with a passion for research

  • Knowledge of robotics process automation (RPA) is a plus

  • Proven experience as a Data Scientist in AI/ML or similar role

  • Understanding of data structures, data modeling, software architecture and implementation

  • Deep knowledge of math, probability, statistics and algorithms

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What working at EY offers 

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. We also offer you:

  • Support, coaching and feedback from some of the most engaging colleagues around

  • Opportunities to develop new skills and progress your career

  • The freedom and flexibility to handle your role in a way that’s right for you

About EY

As a global leader in assurance, tax, strategy and transactions and consulting services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

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

Join us in building a better working world. Apply now.

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