EY Data Scientist - Data Analytics - Sydney in Sydney, Australia
Data Scientist - Data Analytics - Sydney
Requisition # SYD0049A
Post Date Jan 10, 2021
The Covid-19 pandemic is creating seismic challenges around the world. Our purpose, to build a better working world, has never been more important. Life at EY has been transformed dramatically but our strong culture of flexible and remote working has helped EY people navigate new ways of working 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 more than ever we need talented people from diverse backgrounds to help our clients navigate the complexities of this Transformative Age: people with the passion, curiosity and drive to make things better.
We are seeking a Data Scientist to join our Data and Analytics team. This role is offered on a flexible, full-time basis.
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 organisations. 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.
In this role as a Data Scientist you will be part of a culture that focuses on delivering excellence for our clients, whilst using cutting edge technologies. Part of your role will be to translate analytical solution outcomes in the context of business impacts and benefits, whilst working with diverse stakeholders to identify their challenges with data.
Determine the suitability and feasibility of an analytical solution fora given problem
Review existing data sources to assess their applicability to addressthe business problem, and/or propose additional sources required for a solution
Extract and manipulate data from a variety of sources and apply theappropriate pre-processing treatments for analysis
Support the selection and configuration of analytical tools andinfrastructure appropriate to our clients’ objectives, current and target stateanalytic maturity
Design, develop and implement learning and/or optimisation solutions inareas that might include asset and inventory management, communications,channels and networks, risk and portfolio analysis, supply chain management andmarketing effectiveness
Design, develop and implement predictive models for areas such ascustomer segmentation, market basket analysis, offer propensity, demandplanning & forecasting, fraud detection, inventory management and riskexposure
Design, develop and implement approaches for productionising modelscoring and the closed loop feedback paths required to supportback-testing/test-and-learn model validation
Apply visual analysis techniques and toolsets to extract patterns andmeaning from data in a visual format
Be involved in all aspects of the Project life-cycle, includingStrategy, Road-Mapping, Architecture, Implementation and Development in orderto gain maximum exposure to set you up for a successful consulting career
Skills andattributes for success
Statistical analysis experience
Algorithm design, implementation andoperationalisation experience
Development of statistical models, such asBayesian, 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 including Mining, withthe ability to link the dots across industry data sets
An eagerness to solve complex problems in environments that are oftenambiguous, technologically challenged and require creative and lateralthinking
A disciplined approach to problem solving and an ability to criticallyassess a range of information to differentiate true business needs as opposedto user requests
An ability to work within a multidisciplinary team to seek requirementsfor analysis, output format and visualisation, and provide requirements to dataengineers
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 thefollowing products AWS Redshift/RDS, S3, EC2, Lambda, EMR, SageMaker, DynamoDB,Cloudformation, Athena, Kinesis – or equivalents in Azure or Google CloudPlatform is desirable
Prior Big4 Consulting experience ishighly desirable
Ideally,you’ll also have
Experience in engaging with both technical andnon-technical stakeholders
Strong consulting experience and background,including engaging directly with clients
Experience in a delivery role on BusinessIntelligence, Data Warehousing, Big Data or analytics projects
Excellent interpersonal, oral and written communication skills with aknack 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. In addition, our comprehensivepackage can be tailored to your individual needs, to give you the freedom to manage your role in a way that’s right for you. This includes;
a variety of flexibleworking and leave arrangements
personalisedincluding coachingand support to help you build your career and access to formal learning so youcan develop the skills you’ll need to thrive in the future
arange of tools and benefits to guide and support your health and wellbeingthroughout your entire EY career
At EY, we hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging. Through our inclusive leadership behaviours, a variety of internal networks, flexible working and mentoring programs, 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 recruitment process for people with disability. If you require any adjustments to the recruitment process in order to equitably participate, we encourage you to advise us at the time of application viaor phone+61 3 8650 7788.
We understand the importance of social distancing at this time so our recruitment and onboarding process will be managed virtually so we can continue to prioritise the safety and wellbeing of EY people, clients, guests and the broader public.
The exceptional EY experience. It’s yours to build.
The preferred applicant will be subject to employment screening by EY or by their external third party provider.
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