As a leading specialist fibre and network solutions provider, Vocus connects people, businesses, governments, and communities across Australia and New Zealand, to the world. With a world-class team of experts, we challenge convention and do things dMore...
We’re no longer your traditional accounting firm – we’ve moved far beyond our auditing and accounting roots. As a professional services firm, we focus on everything from cyber security and virtual reality through to digital marketing and techMore...
The A&A Analytic Solutions team is at the heart of the Audit & Assurance Digital Strategy across Deloitte Asia Pacific. Our team of data technologists (Artificial Intelligence / Machine Learning / Deep Learning), designers, developers, and management consultants coupled with our proprietary data platform powers the next generation offerings helping clients make better data-driven decisions. We're absolute data nerds and love working with numbers and large data sets (the more unstructured, the better). Data brings us together; our difference inspires creativity and our focus on culture is our adhesive! We believe that success comes from fully understanding the impact of choices and using a data-driven approach to drive improved operational and strategic decision-making. Our team brings diverse thinkers from multiple disciplines to work together in a dynamic, fast-paced, and creative environment. We thrive on challenges enabled by our diverse portfolio, promote curiosity and continuous learning, all whilst providing a supportive and inclusive team culture. What will your typical day look like? Advising clients to help solve real-life business problems across diverse industries through the use of data, cloud, analytics, and AI technologies; Performing "hands-on" statistical and machine learning modeling, computations, and data engineering to deliver best-of-breed analytical solutions to meet the need of the problem space; Aiding in solution development from design through to production; Involvement in identifying trends and innovation in deep learning, machine learning, and related technologies to inform the future development of solutions for our clients. Enough about us let's talk about you. You're someone with… Strong track record in understanding business problems and implementing analytical solutions to solve them with extensive experience in explaining complex technical concepts in simple terms. 3 - 5 years relevant work experience with data analytics, feature engineering, and model development using market-leading machine learning and deep learning techniques. Client-facing experience will be strongly valued. Expertise in writing production code using Python, in particular Pytorch and Tensorflow. Fluency in data querying and manipulation using cloud-based SQL and NoSQL database technologies. Minimum of BA/BSc degree in a quantitative degree such as Applied Mathematics, Statistics, Epidemiology, Computer Science, Engineering, or related field. An advanced degree (MA/MSc, equivalent or higher) is an advantage. A foundational understanding of statistical techniques like (generalised)linear regression, statistical inference, clustering, time series, etc Experience in utilising modern MLOps/DevOps approaches to manage and deploy models at scale on Azure (preferred), AWS, or GCP. Ideally, experience or a strong interest in developing Cognitive analytics solutions including NLP, Voice, and Video Analytics. Experience with Big Data analytics, including Hadoop, Spark, graph analytics would be desirable. Additional experience with other programming languages is ideal such as Scala, R, Julia, or other programming languages for big data analysis would be valued. Ideally experienced in building ML solutions within the Finance Function on at least one of the following industries - Government, Financial Services, Insurance, and Consumer and Industrial Products. Why Deloitte? At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.
Don’t provide your bank or credit card details when applying for jobs. Learn how to protect yourself here.
Post your task and get experts help on: