Data Scientist Senior

Organization:

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 Data Scientist

Location: Bangalore

Business & Team: The Chief Operations Office (COO) Data Science team is responsible for leading and the delivery of world-class AI and ML capabilities to support the stakeholders in serving our customers. We focus on developing advanced Machine Learning and Generative AI capabilities at CBA, working closely with business teams and analytics communities across the bank. We use data, ML and AI to enhance the financial wellbeing of our customers and communities, and to improve productivity and reduce risk.

As a Senior Data Scientist within COO Transformation, you will contribute to the development and management of AI models supporting the operations of the bank. This role involves developing the cutting edge of ML and GenAI solutions from identification and scoping through to deploying systems at scale to uplift operations efficiency and customer experience.

Impact & contribution:

The Senior Data Scientist will use technical knowledge and understanding of business domain to define, own, drive and deliver highly complex data science projects independently, including generative AI agentic frameworks. You will be involved in and drive multiple initiatives in parallel.

You also will engage and collaborate with business stakeholders, technical stakeholders, and senior leadership to clearly articulate findings to solve business problems.

Roles & Responsibilities:

• Lead and drive AI/ data science projects independently, owning the end-to-end process from data collection to model deployment and monitoring.
• Design and implement agentic AI systems that operate autonomously in dynamic, real-world environments, including establishing evaluation metrics and mitigating risks associated with autonomous decision-making.
• Apply Gen AI, NLP, Computer Vison, Deep Learning, advanced statistical and ML predictive modelling techniques to develop and implement scalable AI solutions, ensuring accuracy and reliability of models.
• Implement MLOps practices including model versioning, automated testing, continuous integration/deployment pipelines, and performance monitoring for production systems.
• Collaborate with business and cross-functional teams to understand their needs and implement AI driven solutions, ensuring adherence to data governance and privacy protocols.
• Contribute to strategic planning and direction of AI, including understanding and suggesting opportunities for AI solutions to drive greater impact, efficiency, or outcomes.
• Mentor junior data scientists, provide quality assurance on outputs, and guidance on their projects while fostering a culture of continuous learning and best practices.
• Present complex results to non-technical stakeholders, translating data insights into actionable business strategies.
• Develop and deploy production-grade AI/ machine learning models in cloud-based and on-prem platforms.
• Lead cross-functional teams in the design and execution of AI/ data science projects, ensuring alignment with business objectives.
• Work in a multidisciplinary squad alongside architects, data engineers, taking technical responsibility across all stages of solution development and applying modular, robust code design principles.
• Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in AI/ data science methodologies and tools through active learning approaches.
• Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and AI/ ML modelling.
• Ensure responsible and ethical AI implementation, including establishing guardrails, managing model bias, and adhering to group AI policies and regulatory requirements.
  
  

Essential Skills:

• More than 7 years of relevant experience.
• Experience in responsible and ethical AI implementation, including Responsible AI and adherence to governance policies.
• Advanced machine learning expertise including regression, ensemble methods, SVMs, neural networks, hyperparameter tuning, and model optimisation techniques.
• Advanced statistical modelling capabilities including multivariate analysis, time series analysis, experimental design, randomized controlled trials, power analysis, and Bayesian statistics.
• Experience with cloud platforms (AWS, Azure) and data platforms, big data frameworks, and distributed computing for large-scale datasets.
• Proven ability to mentor junior team members and provide technical guidance on complex projects.
• Experience in leading and coordinating large projects with multiple stakeholders and teams.
• Demonstrated expertise through blog posts, research publications, competitions, speaking opportunities, or patents.
• Experience in Data Science across Operations using NLP and/or working with banking products for retail or business banking.
• Experience building and deploying large-scale software applications.
  
  

Preferred Skills:

• Expertise in designing and implementing agentic AI systems that operate autonomously in dynamic environments, including agentic frameworks, evaluation metrics, and risk mitigation strategies.
• Advanced GenAI experience incl. LLMs, LMs, transformer architectures, and ability to make informed choices between different model types.
• Advanced proficiency in Python (mandatory), SQL with demonstrated ability to write well-designed, modular and optimized code following software engineering best practices.
• Deep knowledge of AI concepts, terminologies, data management tools, and understanding of data bias and governance protocols.
• Awareness MLOps experience including model versioning, automated testing, CI/CD pipelines, performance monitoring, and end-to-end model deployment in production environments.
• Strong communication skills with ability to present complex technical concepts to non-technical stakeholders, and contribute to policies, standards, and guidelines for AI/ML development.
• Active learning mindset with demonstrated ability to quickly acquire new concepts, processes, and tools to keep skills current.
• Project management skills to manage your own work and other junior members effectively and plan and timely delivery of AI solutions.
  
  

Education Qualifications: Bachelor’s degree in engineering Or Master’s degree Or Ph.D. in Data Science, Machine Learning, Computer Science.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), 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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