> Markdown version of [/jobs/ext/4580363-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/4580363-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Commonwealth Bank - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Github, R (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, SQL Databases, Data Streaming, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Agentic-AI, Containerization, Information Technology, Software Version Control, Data Pipelines, Docker - **Published:** November 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pwodxlkia7 ## About the Role * 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: _We use a broad range of tools, languages, and frameworks. We don't expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team. _ * Cutting-Edge AI: Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future. * Agentic AI: Experience designing and building autonomous or semi-autonomous agent systems - including intent/task orchestration, tool use, multi-step decision-making, and guardrails - using frameworks such as LangGraph, pydantic_ai, or equivalents. * Generative AI: Familiarity with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, and tools such as LangChain and LangGraph. * Machine Learning: Expertise in the design and construction of machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models into production environments. * Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub. * Tooling: Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL. * Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration. * Deployment: Familiar with Docker for containerization and deployment of applications. * Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions. ## Description * GenAI and Agentic system design and development: Drive the expansion and adoption of Generative AI solutions across RBS, optimising 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 to drive strategic business outcome 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 stakeholder to pioneer adoption and application of cutting edge AI and Gen AI capabilities and paving the path for how the bank will operate to towards the vision of re-imagined banking and customer service.