Digital Delta Data Scientist
Are you passionate about Digital Transformation?
Do you embrace digital disruption?
Are you convinced that the Fourth Industrial Revolution is fundamentally changing the way we live, work and relate to each other?
Do you aspire to create the best customer experiences across Mobile App & Web, and User Experience (UX) & User Interface (UI)?
New digital technologies and disruptive business models mean many organisations are struggling to keep pace with the transformative changes required to drive growth and meet customer demands. KPMG Digital Delta provides end-to-end digital innovation and transformation services to help overcome this challenge.
By designing and implementing new fit-for-purpose operating models, KPMG Digital Delta helps organisations to reframe their business models, improve operational productivity, create the best customer experiences, and enhance employee collaboration. We bring together best practice knowledge and technology, along with deep expertise across all industries.
More specifically, we re-imagine and re-invent organisations to become world class digital enterprises using advanced technologies, data and human insights. We help organisations to embrace Digital Strategy, Artificial Intelligence (AI) & Cognitive, the Internet of Things (IoT), Data, Analytics & Modelling, Mobile App & Web, and User Experience (UX) & User Interface (UI) and more.
We work with clients to:Formulate strategies that re-imagine organisations
Harness innovation from the 4th industrial revolution
Actioning insights from trusted data to consistently and quickly make clear decisions
Build adaptive organisations
Thrive as a connected enterprise - front, middle and back office
Your new role
The Data Scientist designs, develops and implements practical and scalable analytic solutions. These typically involve a combination of analytical, process and business transformation outcomes and focus on areas of our client's business such as customer, product and supply chain, just to name a few. You will work with business stakeholders on factual problem formation, data identification and deriving answers that can be operationalized to solve business issues. You will work proactively to:
Determine the suitability and feasibility of an analytical solution for a given commercial 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.
In addition to your focus on client engagements, you will contribute to the definition and enhancement of analytics and experimental design disciplines within the practice.
You bring to the role
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.
What we offer you
We offer rewarding careers for outstanding professionals, ongoing learning and development opportunities, a collaborative and inclusive culture, and flexible and agile work practices that focus on our people's wellbeing to drive innovation and entrepreneurship. We also believe that our business plays a distinct and vital role in helping solve important social and environmental issues; and use our unique skills and expertise to help create positive and lasting impacts for our communities.
We believe diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. We are consistently recognised as an employer of choice for women, and our inclusive culture promotes the development of our people irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability.
This is an exciting opportunity to be a part of KPMG and its ongoing success. So if you want a career where you can use your deep expertise to deliver real results, talk to us first.
Please apply for this position by submitting your confidential application online.
Advertised:01 Aug 2019 AUS Eastern Standard Time
Applications close:30 Sep 2019 AUS Eastern Standard Time