The Covid-19 pandemic is creating seismic challenges around the world. Our purpose, to build abetter working world, has never been more important. Life at EY has been transformed dramaticallybut our strong culture of flexible and remote working has helped EY people navigate new ways ofworking and remain connected with each other and our clients.
A better working world truly starts with the people at EY who are building it every day. Now morethan ever we need talented people from diverse backgrounds to help our clients navigate thecomplexities of this Transformative Age: people with the passion, curiosity and drive to makethings better.
The opportunity
We are seeking a Data Scientist to join our Data and Analytics team in our Perth office. This roleis offered on a flexible, full-time basis.
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500specialist employees working across multiple industry sectors.
We implement information-driven strategies and systems that help grow, optimize and protect clientorganisations. We go beyond strategy, and provide end to end implementation of real-life dataenvironments and have some of the best architects, project managers, business analysts, datascientists, big data engineers, developers and consultants in the region.
In this role as a Data Scientist you will be part of a culture that focuses on deliveringexcellence for our clients, whilst using cutting edge technologies. Part of your role will be totranslate analytical solution outcomes in the context of business impacts and benefits, whilstworking with diverse stakeholders to identify their challenges with data.
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
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
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)
Broad domain experience within utilities background (power, water, energy) with the ability to link the dots across industry data sets is essential
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
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 is desirable
Prior Big4 Consulting experience is highly desirable
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
Excellent interpersonal, oral and written communication skills with a knack for distilling complex and/or technical information for novice audiences
What working at EY offers
We offer a competitive remuneration package where you'll be rewarded for your performance. Inaddition, our comprehensive Total Rewards package can be tailored to your individual needs, to give you the freedom to manage your role in away that's right for you. This includes;a variety of flexible working and leave arrangements
personalisedcareer developmentincluding coaching and support to help you build your career and access to formal learning so you can develop the skills you'll need to thrive in the future
a range of tools and benefits to guide and support your health and wellbeing throughout your entire EY career
About EY
At EY, we hold a collective commitment to foster an environment where all differences are valuedand respected, practices are equitable and everyone experiences a sense of belonging. Through ourinclusive leadership behaviours, a variety of internal networks, flexible working and mentoringprograms, you will have the support and flexibility to build an exceptional career.
EY is committed to making reasonable adjustments to provide a positive, barrier-free recruitmentprocess for people with disability. If you require any adjustments to the recruitment process inorder to equitably participate, we encourage you to advise us at the time of application ********** or phone +61 3 86507788.
We understand the importance of social distancing at this time so our recruitment and onboardingprocess will be managed virtually so we can continue to prioritise the safety and wellbeing of EYpeople, clients, guests and the broader public.
The exceptional EY experience. It's yours to build.
Apply now.
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The preferred applicant will be subject to employment screening by EY or by their external thirdparty provider.
© 2020 Ernst & Young Australia. All Rights Reserved. Liability limited by a scheme approved underProfessional Standards Legislation.This employer is a corporate member of myGwork, the business community for LGBTQ+ professionals, graduates, inclusive employers & anyone who believes in workplace equality.
