10 Companies Hiring Professionals with Data Science Qualifications in Australia
Breaking into the job market after gaining formal qualifications can be daunting, especially when you’ve just graduated, moved locations, decided to change jobs, or searching for a better position to progress your career.
There’s many things to consider, for example - are you looking to work for an enterprise, small to medium-sized enterprise (SME) or a start-up?
The answer usually depends on your personality, financial needs and career plan.
Do you enjoy a corporate working environment?
Enterprise – if you are looking to enter the corporate sphere and progress your career in an environment that is competitive, well compensated, follows a hierarchy management structure with strict guidelines on how to perform tasks and progress within the company, then the corporate culture of an enterprise may just suit your professional needs.
Would you prefer more accountability and opportunities to explore new ideas and processes on the job?
SME – if you are looking to break away from the corporate structure or looking to start your data science career in an environment that is challenging, gives you more responsibility, opportunities to expand your role, have your ideas heard and implemented, then a small to medium-sized business may be right for you.
Are you ambitious and desire to be a part of something new and disruptive to the industry?
Start-up – if you are looking to break into the data science industry or looking to try out your new skills in a flexible, innovative and entrepreneurial environment that gives you the opportunity to build up your role and responsibilities based on industry and business needs, while also giving you the freedom to learn and explore what interests you, then a start-up may be the best place for you to begin your big data career.
To help you navigate the diverse data science job market, we’re introducing you to 10 different companies looking to hire trained data science professionals in Australia:
1. CSIRO Data61
CSIRO Data61 are world leaders in data science research and development. Trusted advisers to government, business and academia. They are focused navigating innovating for the future, and creating measurable economic, environmental and social benefits that better our world and Australia’s place in it.
How CSIRO Data61 is creating and innovating using data science, analytics and AI:
PwC is one of Australia's big 4 leading professional services firms (quality assurance, advisory and tax services) dedicated to help Australian businesses, not-for-profit organisations and governments assess their performance and improve the way they work. PwC employees come from a diverse range of academic backgrounds, including arts, business, accounting, tax, economics, engineering, IT, finance, health and law. PwC is rapidly growing their data analytical teams, capabilities and services.
How PWC Australia extracts value and leverages data for a competitive advantage:
Servian designs, delivers and manages innovative data & analytics, artificial intelligence, digital, customer engagement, and cloud solutions, to help clients sustain a competitive advantage and become data driven. Servian is also a consultant led organisation and invests in its employees to ensure they have the technical skills and commercial acumen to be successful in their work.
How Servian uses RapidXP to build prototypes to test market assumptions:
KPMG is another big 4 professional services firm providing audit, tax and advisory services. KPMG also offers a range of Data Analytics tools across corporate, customs, employment and indirect taxes - allowing businesses to gain quantitative insights and visibility on the status of their tax obligations, revealing both untapped opportunities and hidden risks.
How KPMG uses tax data analytics to help businesses gain quantitative insights:
Macquarie is a global diversified financial group providing clients with asset management and finance, banking, advisory and risk and capital solutions across debt, equity and commodities. Macquarie is a data centric financial services enterprise with numerous opportunities in data analytics, science, big data and AI.
How Macquarie Group is using data & AI technologies to improve their products and services for customers:
Ubisoft Australia uses marketing, sales, operations and finance channels to bring their innovative and dynamic games to the Australian market. They are committed to connecting players with original and memorable gaming experiences.
How Ubisoft uses AI to make its games more interactive for players:
The Chandler Macleod Group provides HR services and product offerings that address complex workforce challenges. CMG focuses on unleashing potential in people and companies by providing today’s career opportunities to planning, measuring and managing the workforces of tomorrow.
How CMG unleashes potential in people and companies:
Commonwealth Bank is Australia's leading provider of integrated financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and share-broking products. CommBank is one of the largest employers of big data professionals in Australia.
How Commonwealth Bank uses data to make decisions:
Deloitte is another big 4 professional services firm that provides auditing, economics, risk and financial advisory, consulting, tax, and technology services across a range of industry sectors. Deloitte is used the latest data science and analytics techniques to help their clients and assist in the delivery of their services.
How Deloitte uses data science and analytics to help their clients:
We have new roles being advertised on the BCD Job Board regularly. If you are an experienced data science professional, a big data beginner or a career changer with background knowledge and experience in another field, our network of 500+ employers and industry contacts are looking for candidates that can add value to their data driven projects right now.