Data scientists - driving our future
Demand for data scientists with the right skills, curiosity and talent to create and manage complex data models has skyrocketed. When used effectively, data can transform businesses, improve decision making, accelerate innovation, improve the customer experience and drive operational efficiency.
But it needs the right people to make this happen. Experts who can convert raw unstructured data and who can turn Big Data into meaningful insights, fast, are in demand. Let us help you to discover the opportunities.
Find my next data scientist job in Australia
Almost all organisations are looking at how they can better use data to power their growth. But you’ll need our support to find the right one for you. If you’re a data scientist with the skills to match your ambitions, we’ll give you access to the data science roles nobody else has from a complete range of employers.
Work with us and you’ll get an expert, lifelong career partner who will help assess your options, listen to your feedback and who will secure your next role quickly – being in demand provides you with the opportunities, we can help you to capitalise on them.
Find your nearest office to get in touch with us, send us your CV or browse our latest available Data Scientist jobs.
Insights & Inspiration
Your Data Scientist job questions, answered
Where can I find Data Scientist jobs in Australia?
What does a Data Scientist do?
What skills does a Data Scientist need to have?
What job description and responsibilities does a Data Scientist have?
Collect, gather, analyse, and then visualise information to create insights that will drive business solutions
Source additional information through the creation of new data and utilisation of any and all relevant statistical techniques, software packages, program languages and data infrastructure to resolve specific business issues
Use predictive modelling to optimise business goals and outcomes
Collaborate with other departments to develop and implement custom data models and algorithms
Extract insights from data and communicate these effectively using appropriate technologies to stakeholders and other relevant parties
Streamline and automate processes using artificial intelligence and machine learning
What skills and experience do employers look for in Data Scientists?
The value of communication as a Data Science skill should not be underestimated. These skills are important during the discovery and goal phase but are more prevalent in the presentation of results. Data Scientists are typically required to communicate their results to key stakeholders, including executives.
What qualifications do I need to apply for a Data Scientist job?
What type of employers hire Data Scientists?
- Finance - Data Scientists are in genuine demand in financial sectors such as banking, trading, and insurance. Employers are utilising data science to manage customer data, automate risk management, detect fraud, conduct algorithmic trading and real-time analysis.
- Mining - A large portion of data science jobs in Australia are related to mining, quarrying and extraction of commodities (oil and gas). If you have a strong background in spectroscopy and/or geology, you may like to consider data science jobs in Perth.
- Healthcare - Imaging is a key area as computers can learn to interpret images such as MRI’s and X-rays. They can also identify patterns in data and detect tumours.
- Marketing - Big data in marketing provides an opportunity to better understand the target audience. Data science can be applied to areas relating to customer engagement, retention, dynamic pricing, profiling, and search engine optimisation.
- Transport, Security and Defence - These fields may seem different by nature but share similarities with respect to data science. Facial recognition, fingerprinting, surveillance, and traffic analysis are all areas that provide data science jobs.
What technologies does a Data Scientist use?
These can be separated into several categories. The use of these technologies and requisite knowledge will vary based on employer.
They include and are not limited to:
- Programming Languages - Python, R and SQL
- Machine Learning & Artificial Intelligence – BigML and Apache (Spark, Hadoop etc)
- Mathematics/Statistics - SAS and MATLAB
- Data Visualisation - Tableau, D3.js, Qlikview, Matplotlib,Microsoft BI
How much do Data Scientists earn?
Are data and analytics professionals in high demand?
What does career progression look like for a data scientist?
How can I become a Data Scientist in Australia?