Data Scientist | Data & Analytics What if we didn't focus on who you are now, but who you could become? At EY we believe that whoever you are, your uniqueness helps us stand apart.
We bring together extraordinary people, like you, to build a better working world.
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors
What's in it for you? As a Data Scientist, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include:
Extract and manipulate data from a variety of sources and apply the appropriate pre-processing treatments for analysis. Support the selection and configuration of analytical tools and infrastructure appropriate to our clients' objectives, current and target state analytic maturity. Design, develop and implement learning and/or optimisation solutions in areas that might include asset and inventory management, communications, channels and networks, risk and portfolio analysis, supply chain management and marketing effectiveness. Design, develop and implement predictive models for areas such as customer segmentation, market basket analysis, offer propensity, demand planning & forecasting, fraud detection, inventory management and risk exposure. Design, develop and implement approaches for productionising model scoring and the closed loop feedback paths required to support back-testing/test-and-learn model validation. Apply visual analysis techniques and toolsets to extract patterns and meaning from data in a visual format. What we're looking for Here's our 'wish list' but don't worry if you don't tick all the boxes. We're interested in your strengths, what you want to learn, and how far you want to go.
Statistical analysis experience Algorithm design, implementation and operationalisation experience Development of statistical models, such as Bayesian, regression and linear optimisation models (ideally 5+ Years) Development of machine learning models, including deep learning and graph applications (ideally 3+ Years) Fluency in at least one of the following programming languages R, Python, Scala Familiarity with the following data-related technologies Hadoop, Pig, Hive, Impala, SQL, Teradata, Oracle, SAS, MongoDB High-level understanding of architecting cloud-based solutions with the following products AWS Redshift/RDS, S3, EC2, Lambda, EMR, SageMaker, DynamoDB, Cloudformation What we can offer you Explore how a career at EY is yours to build at Discover how, when and where you can work at Learn about our commitment to DE&I at Understand how our benefits can support you at Acknowledgement of Country EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at
Apply now… we're over 9,000 perspectives in Australia and we're ready to welcome yours.
At EY we take inclusivity seriously, and we're committed to removing barriers and improving the employment prospects of people with disability or long-term health conditions. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at ******** or +******** (option 2). Anything you tell us will be kept completely confidential.
The exceptional EY experience. It's yours to build. Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.
The salary range for this role is AUD 78,000 - 110,000 inclusive of superannuation dependent on skills, experience and work location.
EY | Building a better working world Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.
