Data Scientist

2 weeks ago

Bengaluru Karnataka, India ANZ Banking Group Full time

**Req ID**: 79234
**Department**: AR Personalisation & Digital Sales
**Division**: Australia Retail
**Location**: Bengaluru
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.A
About the Role
As a Data Scientist in Personalization tribe, you’ll play a key role in helping to drive value and improve customer experiences in marketing. This role manages the tribe backlog, working closely with others to prioritise work, manage interdependencies and distil features to epics. TPLs define what success looks like for the tribe and then measure their progress against that. In some cases, this role will also manage a chapter of Product Owners.
Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.
What will your day look like?
Work with different data sources and analyse customer data to understand trends and provide insights using classic and advanced analytics techniques.
Build, deploy, and productionize algorithmic and predictive models to improve marketing campaigns and personalize customer experiences.
Work closely with Marketing and Analytics teams to enhance targeted campaigns and personalized communications.
Meet and collaborate with stakeholders to understand their needs and requirements and provide meaningful insights.
Utilising statistical and advanced analytics techniques to monitor different metrics and deliver data-driven insights and solutions.
What will you bring?
At least 3 years of work experience as a Data Scientist or relevant roles and proficiency in SQL and Python, also experience with PySpark and GCP is a plus.
Strong analytical thinking skills, combined with knowledge of statistics and advanced analytics.
Experience working with large and diverse datasets, ideally in a banking or marketing environment.
Good communication and storytelling skill to explain insights to non-technical stakeholders.
Ability to work with cross-functional teams and work closely, collaboratively, and efficiently with team members in different geographies.
Job Posting End Date
28th Oct 2024, 11.59pm, (Melbourne Australia)

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