Our team is looking for a skilled professional to lead the development of cutting-edge AI capabilities. As a Senior Data Scientist, you will be responsible for delivering high-priority initiatives across Retail Banking Services (RBS).
The ideal candidate will have a strong foundation in statistics and probability, as well as expertise in machine learning models, including feature engineering, model selection, hyperparameter tuning, and deployment.
We are seeking someone with hands-on experience in data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL. Familiarity with cloud architecture, containerization, and version control is also essential.
A tertiary qualification in Data Science, Statistics, Computer Science, or a related field is required. Proven experience in Gen AI, chatbot development, and LLMs is highly valued.
Key Responsibilities:
* GenAI and Agentic system design and development: Drive the expansion and adoption of Generative AI solutions across RBS, optimizing our product offerings through design and implementation of advanced Gen AI capabilities and agentic AI systems.
* Develop and implement Machine Learning Models: Lead the overhaul of various machine learning models, enabling strategic business outcomes for various stakeholders.
* Expand Data/AI Science Usage: Identify AI opportunities and embed these methodologies into a broader range of activities across the banking landscape.
* Drive Continuous Improvement and Business Outcomes: Work closely with business stakeholders to pioneer adoption and application of cutting-edge AI and Gen AI capabilities and pave the path for how the bank operates towards reimagined banking and customer service.
We're interested in hearing from people with the following skills:
* Proven experience in Gen AI, chatbot development, and LLMs.
* Strong foundation in statistics and probability; able to interpret models.
* Proficiency in Python and experience with AI/ML model development.
* Excellent communication skills for documentation and stakeholder engagement.
* Tertiary qualification in Data Science, Statistics, Computer Science, or a related field.
Technical Skills and Tools:
* Machine Learning: Expertise in the design and construction of machine learning models.
* Generative AI: Familiarity with various aspects of Generative AI.
* Cutting-Edge AI: Work on projects leveraging traditional AI, Generative AI, and agentic AI.
* Version Control and CI/CD: Experience with version control and CI/CD pipelines.
* Tooling: Hands-on experience with data science tools.
* Data Engineering: Knowledge of ETL processes and data pipeline construction.
* Deployment: Familiarity with Docker for containerization and deployment of applications.
* Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration.
If you're already part of the Commonwealth Bank Group, you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.
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