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

ESSENTIAL SKILLS:

• More than 10 years of relevant experience
• Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark.
• Ability to write well designed, modular and optimized code.
• Knowledge of GitHub, Big Data and ML Engineering.
• Knowledge of Snowflake, AWS, Azure etc.
• Knowledge of AI, Deep Learning, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLM), Generative AI (e.g., Open-source models & GTP’s, RAG, Guardrails for fairness / privacy).
• Model Deployment Experience (MLOps)
• Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications.
• Experience in Data Science in Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred.
  Qualification: Bachelor’s degree in Engineering in Computer Science/Information Technology. Masters or Ph.D. preferred.
  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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• Lead and drive AI/ data science projects independently, owning the end-to-end process from data collection to model deployment.
• 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.
• Mentor junior data scientists and provide guidance on their projects.
• 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.
• Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in AI/ data science methodologies and tools.
• Drive complex business problems through data analysis and AI/ ML modelling.
• Strongly support the adoption of AI/ data science across the organization.
• Contribute to the strategic planning and direction of AI/ data science initiatives within the organisation.
• Engineering: working in a multidisciplinary squad alongside architect and data engineer