Applied Data Scientist
Summary
Data scientist at a major Australian lottery operator, building predictive models and AI tools to drive customer growth and commercial strategy using Python, SQL, and cloud platforms.
Are you ready to join the winning team at The Lottery Corporation?
We power Australia’s biggest lottery games – and we’re one of the world’s top-performing lottery businesses.
As the home of The Lott and Keno, we’re building on decades of excitement and life-changing wins, bringing our games to every state and territory except WA.
For more than a century, we’ve been playing our role in creating positive impacts by delivering winning moments every day to our people, our customers, retailers, partners and our community.
But we’re not standing still. We’re evolving into an entertainment company – more customer-obsessed, more agile and driven by real outcomes.
Because at our core, it’s simple: we create winning moments – and we’re building the next chapter as the team behind Where Australia Comes to Play.
Join us!
You’ll combine data science, commercial strategy and AI in a role that directly influences business decision-making.
You'll uncover insights hidden within customer, market and digital data, develop predictive models and AI-powered analytical capabilities, and help shape the strategies that drive customer growth and commercial performance. You'll also own and evolve the customer data models that underpin how we understand, serve and protect our players.
What you’ll do
- Uncover customer, market and digital insights that drive growth
- Build predictive models and AI-powered analytical capabilities
- Develop customer segmentation and early intervention models
- Apply statistical modelling to solve commercial problems
- Build dashboards and reporting for business leaders
- Support digital strategy through evidence-based insights
- Champion AI-native ways of working and analytical excellence
- Translate complex data into clear business recommendations
What you’ll bring
- Experience in data science, commercial analytics or quantitative strategy roles
- Strong statistical modelling and analytical capability
- Experience building customer segmentation, propensity or risk models
- Advanced Python and SQL skills
- Experience working with large structured and unstructured datasets
- Exposure to cloud and AI platforms such as Google Cloud, BigQuery or Vertex AI
- AI-spec driven development experience is desirable
- Strong communication skills that turn insights into action
What you’ll get
Not only will you receive an awesome candidate experience from our caring Talent team, but you’ll get a genuine feel for who we are and what it’s like to be part of our team.
The benefits of working with The Lottery Corporation are pretty good. Just to name a few:
- Balance work and life with our ‘flex for great outcomes’ approach – hybrid working, plus a range of generous leave options.
- Reward and recognition programs at all levels. Your hard work won’t go unnoticed.
- Ignite your potential with our dedicated learning and development platform to support your bright future.
- We empower careers to grow from within. 50% of all roles in 2025 were filled by our own people, proving that your next opportunity is already here!
- A true sense of belonging. We’re committed to Inclusion & Diversity with a range of initiatives such as our Gender Affirmation Support, employee inclusion networks and diversity memberships and celebrations.
- Make positive impacts with opportunities to volunteer with our community partners. We'll also dollar match fundraising efforts of our employees lending their support to registered charities.
We’re committed to providing a safe, respectful and supportive work environment. We encourage you to let us know if we can make any accommodations, so the process can be more user friendly for you.
We acknowledge and pay respect to the traditional custodians of the lands on which our offices, retail outlets and venues operate. We acknowledge the inextricable link First Peoples of Australia have with the land past and present.
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