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Join a leading company in Data and Analytics services as part of the Data Science and Machine Learning team. You will design and optimize data systems, focusing on Machine Learning, Deep Learning, and AI model development. Collaborate on client engagements to enhance data management and drive business results through innovative analytics solutions.
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Our team helps businesses develop data management technology that addresses architecture and governance frameworks and transforms data into insight and action. We help organizations better manage the complexity of their enterprise data, reducing costs, ensuring the integrity of information assets, and enhancing performance through better information and refined decision-making capabilities.
As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale. This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming, and training complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems. You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure, and AWS.