Shape the Future of Banking with ANZ: Data Scientist/Machine Learning Engineer

Join ANZ as a Data Scientist/Machine Learning Engineer in Bengaluru. Build advanced models, drive data-driven decisions, and innovate with cutting-edge tools. Apply now!

At ANZ, we’re committed to improving the financial wellbeing and sustainability of our customers. As a global leader in banking, we’re driven by innovation, collaboration, and a passion for data-driven solutions. We’re now seeking a talented Data Scientist/Machine Learning Engineer to join our Australia Retail Division in Bengaluru. If you’re passionate about solving complex problems, building advanced models, and transforming data into actionable insights, this is the role for you.

Key Responsibilities

As a Data Scientist/Machine Learning Engineer at ANZ, you’ll play a pivotal role in shaping the future of banking. Your day-to-day responsibilities will include:

• Solving Complex Business Problems: Use large datasets to address critical business challenges and drive decision-making.
• Developing Advanced Algorithms: Build and deploy machine learning models to automate processes and enhance customer experiences.
• Data-Driven Insights: Design, monitor, and present fact-based analyses to support innovative propositions and business strategies.
• Customer-Centric Solutions: Profile customers, products, and channels to uncover risks, opportunities, and actionable insights.
• Innovation Leadership: Initiate and implement cutting-edge data science capabilities to improve customer engagement and business performance.
• Collaboration: Work closely with Data Engineers, Analysts, and stakeholders to integrate data quality checks and ensure seamless model deployment.

Qualifications

To thrive in this role, you’ll need:

• Technical Expertise:
• Proficiency in Python and key libraries for data science (e.g., Pandas, NumPy, Scikit-learn).
• Experience with MLFlow, PySpark, and Object Store for data processing and transformation.
• Hands-on experience with Airflow for pipeline orchestration and model deployment.
• Strong understanding of predictive modelling, clustering, and supervised/unsupervised learning.
• Analytical Skills:
• Ability to translate data insights into actionable business recommendations.
• Strong statistical modelling and data management capabilities.
• Communication:
• Excellent storytelling and data visualization skills to present insights to technical and non-technical stakeholders.
• Industry Knowledge:
• Familiarity with banking systems, products, and customer-centric solutions.
• Leadership:
• Proven ability to lead and inspire teams while driving innovation.

Why Join ANZ?

At ANZ, we value our people and offer a supportive, inclusive, and innovative work environment. Here’s what you can expect:

• Career Growth: Opportunities to work on cutting-edge projects and develop your skills in a global organization.
• Work-Life Balance: Flexible working arrangements to support your personal and professional life.
• Competitive Benefits: Attractive compensation, health insurance, and wellness programs.
• Inclusive Culture: A diverse and collaborative workplace where your ideas matter.
• Impactful Work: Contribute to meaningful projects that improve the financial wellbeing of millions.

Ready to Make an Impact?

If you’re passionate about data science, machine learning, and driving innovation in banking, we’d love to hear from you. Join ANZ and be part of a team that’s shaping the future of financial services.

Apply now and take the next step in your career with ANZ!