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EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies and systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are looking for a Data Scientist within the DnA team in our Perth office. This role is offered on a flexible full time basis.
Your key responsibilities
Determine the suitability and feasibility of an analytical solution for a given problem
Review existing data sources to assess their applicability to address the business problem, and/or propose additional sources required for a solution
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
Translate analytical solution outcomes in the context of business impacts and benefits
Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques
Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies
Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you
Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career
Skills and attributes for success
A proven ability to undertake the responsibilities and requirements of the role, as listed above
Excellent interpersonal, oral and written communication skills with a knack for distilling complex and/or technical information for novice audiences
An eagerness to solve complex problems in environments that are often ambiguous, technologically challenged and require creative and lateral thinking
A disciplined approach to problem solving and an ability to critically assess a range of information to differentiate true business needs as opposed to user requests
An ability to work within a multidisciplinary team to seek requirements for analysis, output format and visualisation, and provide requirements to data engineers
Experience with the following technologies & languages
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, Athena, Kinesis – or equivalents in Azure or Google Cloud Platform
Ideally, you’ll also have
Experience in engaging with both technical and non-technical stakeholders
Strong consulting experience and background, including engaging directly with clients
Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
Who are Advisory?
Our Advisory service line focuses on helping clients to improve their performance and manage their risks more effectively. From an improved finance function, enhanced supply chain, or superior customer experience, EY teams are able to offer added value and turn our client’s strategy into reality! This is why Advisory is the fastest-growing service line and an energetic, fast-paced environment. Learn more about Advisory
What working at EY offers
Our Total Rewards package includes:
formal or informal flexible working options
e.g. remote working, flexible start and finish times
career and learning development e.g.
EY badges, career mentoring
an extensive range of wellbeing and benefit offerings e.g. Salary packaging, parental leave and support, health checks
Who we are
EY is an
inclusive and equal opportunity employer
offering a vast range of internal networks including Ability EY, our disability network, Unity, our LGBTI network and our Aboriginal and Torres Strait Islander network enabling us all to embrace and value the diverse society we live within. If you have any support or access requirements, we encourage you to advise us at the time of application via ***************@au.ey.com or +61 1800 017 666.
Make your mark. Apply Now!
The preferred applicant will be subject to employment screening by EY or by their external third party provider.
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