Senior Data Scientist — End-to-End ML Retail Impact

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

Since 2002, Quantium has combined the best of human and artificial intelligence to forge a better, more intelligent world. Our solutions make sense of what has happened and what will, could or should be done to reshape industries and societies around the needs of the people they serve.

As one of the world's fully diversified Data Science and AI leaders, we operate across every sector of the economy and we're growing fast — with growth comes opportunity! We're passionate about building out our team of smart, fun, diverse and motivated people.

We combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists — all dedicated to harnessing the power of data to drive transformational outcomes for our clients.

We're looking for a talented and driven Senior Data Scientist to join our growing US Retail & Consumer team. This is an exciting opportunity to work at the intersection of advanced analytics, machine learning, and commercial impact, delivering data-driven solutions that make a genuine difference for our clients and partners.

You will apply deep technical expertise across the full data science lifecycle, from problem framing and solution design through to model development, deployment, and ongoing value delivery. You'll collaborate closely with cross-functional teams, contribute to a culture of analytical excellence, and play a meaningful role in mentoring and developing others.

• End-to-end solution delivery: Design, develop, and deliver high-quality data science solutions that address complex client and business problems across a range of retail and consumer industries
• Advanced analytics application: Apply machine learning, statistical modelling, and AI techniques to generate actionable insights and build scalable analytical products
• Problem framing: Translate business problems into well-defined analytical frameworks, driving delivery from scoping through to deployment
• Client partnership: Collaborate with clients and internal stakeholders to understand requirements, communicate findings, and embed solutions into decision-making processes
• Technical leadership: Champion best practice in data preparation, modelling, code quality, and solution governance, setting the standard for the team
• People development: Mentor and support graduate and contributor-level team members, fostering a culture of continuous learning
• Business growth: Participate in business development activities including solution scoping, proposal development, and client presentations

• Technical proficiency: 3 to 6 years of experience in a data science or quantitative analytics role, with a strong track record of delivering commercial outcomes; proficiency in Python and/or R with solid coding practices
• Modelling expertise: Strong foundations in statistical modelling, machine learning, and data wrangling, with hands-on experience in production-grade model development
• Cloud and big data: Experience working with cloud-based data platforms (e.g. GCP, AWS, Azure) and familiarity with big data technologies
• Communication skills: Demonstrated ability to communicate complex analytical findings to…