Senior Data Scientist

Data Scientist

Senior Data Scientist role at ANZ focusing on customer personalization. Requires 5+ years experience with SQL, Python, PySpark, GCP, Machine Learning, Predictive Modeling, and strong statistics and advanced analytics skills. Experience in banking or marketing is preferred.

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 About Us At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About The Role As a Data Scientist in the Personalisation Tribe, you’ll play a key role in helping to drive value and improve customer experiences through descriptive and predictive models, and analyses using advanced analytics techniques. You will work with data engineers and data analysts to determine the relevant internal and external data sources to enable developing predictive and descriptive models. You will work with data analysts and business stakeholders to develop and iterate analyses that enable data driven decision making. What will your day look like? <ul><li> Work with different data sources and analyse customer data to understand trends and provide insights, opportunities and recommendations using classic and advanced analytics techniques. </li><li> Identify use cases for, and build, deploy, and productionize algorithmic and predictive models to improve marketing campaigns and personalize customer experiences. </li><li> Proactively suggest ways to enhance targeted campaigns and personalized communications using advanced analytics techniques and data science assets. </li><li> Meet and collaborate with stakeholders to understand their needs and requirements and provide analytical insights, recommendations and solutions. </li><li> Utilising statistical and advanced analytics techniques to monitor different metrics and deliver data-driven insights and solutions. </li></ul>
What will you bring? <ul><li> At least 5 years of experience as a Data Scientist or in similar roles, with proficiency in tools such as SQL, Python, PySpark, and GCP. </li><li> Experience in Machine Learning, Predictive Modeling, and strong knowledge of statistics and advanced analytics for solving business problems. </li><li> Experience working with large and diverse datasets, ideally in a banking or marketing environment. </li><li> Strong communication and storytelling skills to convey analytical insights and solutions to non-technical stakeholders. </li><li> Ability to collaborate effectively with cross-functional teams, including members from different geographies. </li></ul>
Job Posting End Date 4th Nov 2024, 11.59pm, (Melbourne Australia) 
 
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