Senior Data Scientist

at  EY

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. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
EY delivers exceptional services to our clients in the data and analytics domain. We are helping our clients solve their most critical business problems. Our service offerings help our clients apply advanced analytics techniques to drive competitive advantage, use advanced learning algorithms to solve complex business problems, realize the full potential of data through vast amount of disparate data sets available to them, generating insights by capturing data from machines and devise in near real-time.

THE OPPORTUNITY

We are seeking a highly skilled and driven data science specialist to join our team. The ideal candidate will have a strong understanding of machine learning methodologies and extensive experience using related Python libraries and frameworks, as well as graph theory.

WHAT WE LOOK FOR

We are looking for a self-motivated individual with a strong desire to keep learning and staying abreast of the latest developments in the field of data science. If you have a knack for problem-solving and a passion for pushing the boundaries of data science, we would love to hear from you.

YOUR KEY RESPONSIBILITIES

You’ll spend most of your time working with a wide variety of clients to deliver the latest data science, data analytics, and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyse data from multiple sources.

TO QUALIFY FOR THE ROLE YOU MUST HAVE

• Comprehensive understanding of machine learning methods including supervised, unsupervised, and reinforcement learning.
• Proficient in Natural Language Processing (NLP), Long Short-Term Memory networks (LSTM), Convolutional Neural Networks (CNN).
• Openness to integrating new research findings into the workstream, including reading and comprehending scientific articles and implementing these research findings into practice.
• Extensive programming experience with Python and familiarity with machine learning packages and libraries such as TensorFlow and PyTorch.
• Deep understanding of Language Models, particularly Large Language Models (LLMs).
• Knowledge of Graph theory and its applications in data science.
• Familiarity with cloud technologies, along with experience in working with both cloud and on-premise databases. Experience with SQL, Snowflake, Oracle, etc. is especially desirable.
• A master’s degree (Ph.D. preferred) in Computer Science, Statistics, Data Science, or a related field.
• Excellent problem-solving abilities and an aptitude for critical thinking.
• Strong communication skills to effectively collaborate with the team and present insights to stakeholders.
• Developing machine learning models for complex problems.
• Incorporating up-to-date research findings from relevant scientific articles.
• Regularly working with various programming languages, mainly Python.
• Collaborating with team members and stakeholders to improve existing solutions and develop new approaches.