Data Scientist - Melbourne

Summary about this job

Detail information about job Data Scientist - Melbourne. Terms and conditions vacancy

• Opportunity to showcase your consulting skills
• Opportunity to work on global projects
• Work with a supportive and collaborative team

About us
EY DnA is the data and advanced analytics capability within EY Asia-Pacific working in multiple sectors including financial services, government & public sector, energy, mining & metals, and consumer products. We have more than 400 specialist staff in Australia, New Zealand, Singapore, Hong Kong, Korea, The Philippines and Malaysia.
 
EY DnA is looking for Data Scientist who enjoy a challenge and are keen to work in a professional and collaborative environment.
 
About the role 
Our Advanced Analytics practice in Melbourne is looking for a talented, inquisitive and proactive Data Scientist to join our team.  
You will be joining a growing team of data scientists and analytics experts working on some of the most exciting projects in the country.  We don't just talk about big data and analytics, we bring it to life for our clients. 
 
The advanced analytics practice works on the design, development and delivery of the most innovative solutions for our clients. You will be using various machine learning techniques such as Linear Regression, Random Forests, Neural Networks etc. to analyse multiple sources of structured, semi-structured and unstructured data. 
 
Ideally you will have a background in Maths and/or Statistics, a good flare to present complex algorithms and concepts in a simple format and an understanding of the commercial value, the data provides the client. 

 
About You
You will demonstrate previous experience in:

• Applying computer-aided statistical modelling to solve business problems
• Machine learning, data mining and information retrieval.
• Extracting information from a wide variety of sources including quantitative, qualitative and big data sources
• At least one of the following modelling software packages: MATLAB, R, SAS, SPSS.
• At least one of the following scripting languages: C++, Java, Python.
• Data visualisation using Tableau / Qlikview / D3.js  
• Demonstrating your ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process
• Tertiary qualifications (a Masters or PhD degree) in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering, Applied Science., or equivalent highly desired.

 
What We Will Provide You:
We strive to recruit the best people. This means you will be surrounded by highly skilled and passionate individuals wherever you go at EY.
 
When you join our team, you open the door to a stimulating international career. It is rewarding to be part of an organisation that is at the forefront of analytics. You will get a chance to work on and support sophisticated and market-leading products. We are a global organisation with a promising future and lots of opportunities for you to evolve and grow. A culture where respect, integrity and teaming define the way we work together. You'll also find support for your continuous growth and success.
 
For a career move that expands your horizons, apply today and join a firm that is committed to building an inclusive culture that supports a diverse workforce, helping you to gain experiences that will set you up for a lifetime.
 
APPLY NOW!
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The preferred applicant will be subject to employment screening by Ernst & Young or by their external third party provider.
 
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