Junior Data Scientist - EY wavespace Data & AI hub

• Explore and try out exciting upcoming libraries, models, technologies to analyze and recommend the best one for the team
• Design and implement scalable ML and DL systems, products, and solutions.
• Collaborate with engineering and DevOps teams to build and deliver systems that can be deployed both in the cloud and on premise, e.g., using Azure, Docker, and Kubernetes.
• Build deep learning-based products on CPUs and GPUs, leveraging latest deep learning and machine learning libraries.
• Develop and evaluate data analytics models, algorithms, systems and solutions using a variety of advanced data science techniques
• Produces complex predictive models and manages the delivery of solutions which can be used to drive measurable client and commercial benefit
• Develops a solid understanding of data structures and business in order to extract and integrate required data sources for analysis

• Excellent programming skills: Experience in languages such as Python
• 1-2 years of relevant experience
• You have experience with both machine learning and building software
• You have experience with databases
• Machine learning domain knowledge-bias-variance tradeoff, exploration/exploitation-and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms
• Good understanding in Deep Learning
• Familiarity with Azure cloud ecosystem and OpenAI models
• Experience working with large data sets
• Excellent problem-solving skills
• Strong communication and teamwork
• Familiarity with Financial Services
• Proficiency in English

Our commitment to diversity & inclusion

EY wavespace is creating innovative AI technology and products that will transform EY and our clients. The successful candidate will be part of a team building innovative AI solutions that rely on AI and ML techniques including but not limited to natural language processing, computer vision, deep learning, and machine learning.