Requisition ID: 1451102
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.
Title: Senior data scientist
Educational qualification: BTech/Masters/PhD
EY is looking for a senior data scientist with expertise in deep learning, neural networks, CNN, and reinforcement learning. The candidate will be responsible for designing, developing, and deploying cutting-edge machine learning solutions to solve real world analytics problems in various domains such as computer vision, natural language processing, recommender systems, etc. You will also collaborate with other data scientists, engineers, and business stakeholders to deliver high-quality products and services.
Role Description:
Lead and execute end-to-end analytics projects, from problem definition to solution delivery
Use Python and next-generation technologies to develop and deploy scalable and robust analytical models
execute end-to-end projects involving problem definition, data acquisition, model development, validation, deployment and monitoring
Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc.
Architect and design data pipelines and frameworks to support analytics needs
Manage client relationships and expectations, and communicate insights and recommendations effectively
Translate business problems into analytics problems, and provide innovative and actionable solutions
Mentor and coach junior data scientists and analysts
Present and communicate the results and insights of the analytics solutions to clients and stakeholders in a clear and effective manner
Work as a team, guide junior analysts and developers on the team
Key Skills:
A master’s or PhD degree in computer science, statistics, mathematics, or a related field
At least 5 years of experience in applying deep learning techniques to real world problems
Proficiency in Python and popular frameworks such as TensorFlow, PyTorch, Keras, etc.
Experience in building and optimizing neural network architectures such as CNN, RNN, LSTM, GAN, etc.
Experience in applying reinforcement learning algorithms such as Q-learning, SARSA, DQN, A3C, etc.
Experience in conducting data analysis, feature engineering, model validation, and performance evaluation
Experience in deploying machine learning models to production environments using cloud platforms such as AWS, Azure, GCP, etc.
Excellent communication and presentation skills
A strong passion for learning new technologies and staying updated with the latest research trends
Key Responsibilities:
Execute end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
Ensuring the solutions meet the client requirements and expectations
Communicate effectively with the clients and internal stakeholders throughout the project
Identify new opportunities and work with managers to generate the proposals and plan
Present the solutions and showcase the value proposition to senior stakeholders
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.