We've been building AI systems that run in production since 2002. From traditional analytics and machine learning to GenAI, our solutions power critical operations for the world's largest organisations: processing billions in transactions, protecting customers from fraud, optimising inventory across thousands of locations.
We combine 23 years of industry experience with cutting-edge technology. We work with your data, your systems, your priorities. We build custom GenAI solutions, transform business processes with AI, and develop your organisation's capability to deploy these systems at scale. We deliver financial results your teams can measure.
Founded in Australia across 13 locations globally. Trusted by Woolworths Group, Commonwealth Bank, Telstra, Discovery, Dollar General, ASDA, Iress, and more.
Rating Reviews
Rating is calculated based on
18
reviews and is evolving.
Pros: Quantium provides a really good work-life balance for a data analytics firm. The hybrid work model is well-supported, allowing me to manage my time effectively between home and the Sydney office. The team culture is collaborative and supportive, and there are always interesting projects using cutting-edge AI and machine learning techniques.
Cons: While flexibility is high, there can be periods of intense workload, especially when client deadlines are approaching. Sometimes, communication on project scope changes could be a bit clearer to manage expectations. The pay and benefits are decent but could be more competitive compared to some global tech giants.
Advice to Management: Continue fostering the flexible work environment and strong team collaboration. Consider refining project scoping communication and potentially reviewing the benefits package to stay competitive. Your support for employee autonomy is appreciated.
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Pros: The work-life balance here is exceptional, thanks to the flexible hybrid work arrangement that truly supports employee well-being. My colleagues are supportive, fostering a collaborative environment perfect for learning and career development in data analytics. There are also plenty of opportunities to expand my skills in various analytical tools, which is a huge benefit for any data professional.
Cons: While the leadership team is generally strong, the communication flow from the top regarding broader company direction could be more transparent. The promotion process, although fair, sometimes feels a bit slow and can involve a lot of internal red tape. Occasionally, project deadlines mean busier periods, but these are usually well-managed.
Advice to Management: Focus on improving top-down communication regarding company strategy and streamlining the promotion process to recognize talent faster.
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Pros: The pay and benefits at Quantium are a real plus. As a Data Scientist, I felt well-compensated, and the comprehensive package, including super, is strong. There's also good support for professional development in the data analytics industry.
Cons: While the pay is good, the workload, especially during peak project cycles, can be quite demanding. Sometimes internal communication about new initiatives could be clearer across different consulting teams.
Advice to Management: Keep fostering a transparent communication culture, especially regarding project pipelines and resource allocation. Continue investing in employee well-being to help manage the demanding periods and maintain high morale across teams.
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How did the interview scheduling process go with Quantium?
My interview scheduling with Quantium for a data scientist role was efficient; they sent over a few options within a day and were flexible to find a time that worked for both of us.
How does Quantium recognize outstanding work in their category management roles, especially within the retail tech industry in Sydney?
At Quantium, strong performance in category management, even in a dynamic field like retail tech here in Sydney, is often celebrated through regular performance reviews and opportunities for professional development. I've seen colleagues recognized with both formal awards and informal acknowledgments for significant project contributions.
What's it like working as a Category Manager at Quantium, especially with their focus on data analytics in the retail industry?
As a Category Manager at Quantium, I've found the data-driven approach to be a game-changer for optimizing category performance. It's a large, innovative company where you truly leverage insights to make a significant impact in retail category management.
What is the typical salary range for a data scientist at Quantium in Sydney?
Based on my experience, entry-level data scientist salaries at Quantium in Sydney usually start around AUD $90k, with senior roles potentially reaching AUD $160k+ depending on experience and impact within this large tech company.
What's the dress code like at Quantium, a data analytics company in Australia?
At Quantium, the dress code is generally smart casual; you'll see most data scientists and analysts in nice jeans or chinos with a collared shirt. It's a relaxed environment for a tech firm of their size, but always good to err on the side of professional for client meetings.
What's the hiring process like for a data science role at Quantium, and how long does it typically take?
The Quantium hiring process usually involves a few stages, starting with an online application and sometimes a coding assessment, followed by interviews that assess your technical skills and cultural fit for their data analytics teams. Overall, it took me about 3-4 weeks from application to offer for my data scientist position in their Sydney office.
What is the team collaboration like at Quantium, especially for data scientists working on complex projects?
Collaboration at Quantium is strong, with cross-functional teams frequently using shared platforms and regular check-ins. Data scientists often pair program and engage in code reviews, fostering a knowledge-sharing environment crucial for tackling intricate data challenges.
What is the typical work environment like at Quantium for data scientists in Sydney?
Quantium fosters a collaborative and data-driven work culture where teams regularly share insights. As a data scientist in Sydney, you'll find a focus on continuous learning and applying advanced analytics to solve complex business problems.
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