Data Scientist Senior Staff

Organisation:

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward, to progress. To make the right financial decisions and achieve their dreams, targets and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Staff Data Scientist – COO AI & Advanced Analytics CoE

Location: Bengaluru

Business & Team: COO AI & Advanced Analytics CoE

Impact & contribution:

The Senior Staff Scientist is a strategic and technically advanced individual contributor role within the COO AI & Advanced Analytics CoE. This position is designed for a seasoned expert who combines deep technical expertise with leadership in innovation, analytics enablement, and operational transformation. The role will drive the technical maturity of the CoE, uplift AI capabilities across operations, and deliver high-impact insights and solutions

Lead the design, development, and deployment of end-to-end agentic AI solutions, embedding autonomous decision-making capabilities into operational workflows.
Drive innovation in generative AI, including prompt engineering, fine-tuning, and safe deployment of LLM-based applications.
Provide hands-on technical leadership across the full lifecycle—design, implementation, deployment, and governance—ensuring robustness, explainability, and safety.
Champion best practices in data science standards, including code quality, model governance, and operationalisation.

Roles & Responsibilities:

Strategic Enablement & Delivery

• Accelerate AI and analytics capability, delivery, and adoption across operations teams.

• Translate complex analytical findings into actionable business insights that enhance operational efficiency and risk management.

• Partner with senior leadership to identify and prioritise strategic challenges that can be addressed through analytics.

Mentorship & Culture Building

• Act as a role model and mentor for junior and mid-level data scientists, fostering a high-performance culture.

• Build strong relationships across the COO and analytics community to drive collaboration and shared outcomes.

Operational & Analytical Excellence

• Lead exploration of new data sources and advanced modelling techniques to support fraud detection, operational insights, and strategic initiatives.

• Maintain data governance standards and ensure compliance with regulatory and ethical guidelines.

• Minimum 10 years of experience in data science, AI, or machine learning roles, with a strong track record of technical leadership.

• Proven experience in deploying AI/ML solutions in production, including cloud-native architectures (e.g., AWS, Azure, GCP).

• Deep understanding of the AI ecosystem, including:

• Agentic AI frameworks: LangChain, LangGraph, CrewAI, AutoGen

• Observability and monitoring: Langfuse, PromptLayer

• Vector databases: FAISS, Pinecone, Weaviate

• LLM orchestration: OpenAI, Anthropic, Hugging Face Transformers

• MLOps: MLflow, Kubeflow, Vertex AI, SageMaker

• Prompt engineering and fine-tuning of foundation models

• Strong programming skills in Python and SQL; familiarity with R, SAS, SPSS, and cloud-based data pipelines.

• Experience with data visualisation tools such as Tableau, Power BI, or Streamlit.

• Candidates with a research background in AI, machine learning, or data science will be preferred.

Education Qualifications : Bachelor’s degree in Engineering in Computer Science/Information Technology.