Data Scientist – Utilities | Data and Analytics

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Data Scientist – Utilities | Data and Analytics


Requisition # PER001H8

Post Date Dec 02, 2020

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 in our Perth office. 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.

**Your keyresponsibilities**

+ 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 within utilitiesbackground (power, water, energy) with the ability to link the dots acrossindustry data sets is essential**

+ 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

+ Excellentinterpersonal, oral and written communication skills with a knack fordistilling 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

+ 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

**About EY**

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

Apply now.


preferred applicant will be subject to employment screening by EY or by their
external third party provider.

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