Data Scientist


Contacts:

Building Bright Futures

We’re not who you think we are.

Our focus on building a brighter future for Australia’s veterans is as strong as ever, and we’re doing it in amazing and innovative ways! From evidence-based interventions that make a real difference to veterans’ quality of life, to a best-in-breed tech platform that supports and enables veterans through membership, service delivery, and our Sub Branch network.

With Australia’s most successful prize home lottery backing us, you’ll have access to the best technology, skilled co-workers and interesting projects that will allow you the opportunity to grow your career with us.

About the role:

We have an exciting opportunity for a Data Scientist to join our Commercial & Customer Insights team on a permanent full time basis.

Reporting to the Head of Commercial & Customer Insights – Lotteries, you will be responsible for providing insights through data science, machine learning and statistical analysis. Your primary focus is to perform advanced data analysis to better understand current business performance, support the Senior Data Scientist to build robust predictive models to estimate future business performance and communication of the results of these analyses to stakeholders across the Lotteries division.

Key Accountabilities

Delivering data-driven insights to all Lotteries functions including Product, Marketing, Sales and Commercial Operations.
Support the delivery of commercial benefits and an improved customer experience using advanced statistical and predictive modelling techniques.
Developing innovative and effective approaches to solve commercial problems and communicating results and methodologies to the Head of Commercial & Customer Insights.
Promote a culture of data-driven decision-making, using compelling arguments and evidence to persuade stakeholders toward mutually beneficial outcomes.
Recommend appropriate toolsets and libraries to drive better performing predictive models, business performance and model interpretability.
Collaborating with RSL’s broader analytics ‘community of practice’ to drive best practice, data-driven decision making and a learning culture across RSL Qld.
Foster a continuous improvement mindset to drive efficiency and effectiveness of services delivered to all RSL Queensland stakeholders.

About you:

Tertiary Qualification in Data Science or related field such as Statistics, Mathematics, Actuarial Studies, Science or Engineering.
3+ years experience in a hands-on data science role – preferably in a commercial, B2C environment, delivering better business outcomes in partnership with sales, marketing and product teams through data science, machine learning or statistical modelling.
5+ years experience programming with Python (pandas, scikit-learn)
Data storytelling and visualisation skills and the ability to communicate complex analytical, statistical and technical concepts in an easy-to-understand fashion to non-technical stakeholders.
Experience using model interpretability frameworks (like LIME and SHAP).
Well versed in statistical modelling, data science and machine learning methods, including application of classification, regression, clustering, dimensionality reduction.
Experience developing and managing the predictive model lifecycle in an MLOps environment.
Demonstrated ability to measure and estimate business performance as a result of analytics and insights.
Azure Machine Learning Services, SQL, git, jupyter notebooks experience mandatory.
Experience with financial time-series forecasting, time-series analysis, pricing, simulation models desirable but not essential.
R, C/C++, PowerBI, Databricks, pytorch experience desirable.
Deep learning and reinforcement learning experience desirable.
Excellent interpersonal skills, including the ability to collaborate effectively with colleagues

Benefits:

We could talk about RSL Queensland’s flexible work arrangements, its fully stocked kitchens and fridges and our Benefits Hub. But the benefits that set us apart include:

RSL Queensland values all voices – have an influence, be the difference!
Work in an empowered workforce – your new ideas are encouraged, heard and valued
Operate in an Agile test and learn culture – fail fast, learn quick!
Have fun while you work – enjoy regular social and team activities

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