Data Scientist Gen AI Agentic AI
Commonwealth Bank
Job Overview
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Job Description
Data Scientist - Gen AI, Agentic AI (Business Banking)
Commonwealth Bank is seeking a Data Scientist with expertise in Generative AI and Agentic AI to join their Business Banking team. This role is part of one of the largest and most advanced Data Science practices, focused on building state-of-the-art models to enhance customer experiences.
About the Role
As a Data Scientist in the Business Bank’s AI Centre of Excellence (AiCE), you will be instrumental in developing Generative AI solutions. These solutions will aim to streamline lending processes and significantly improve customer interactions. You will leverage Machine Learning techniques to create models that are not only scalable and reliable but also tightly aligned with business objectives.
Your Team and Stakeholders
You will collaborate closely with key business stakeholders within the Business Bank. This includes working with front-line segment colleagues, as well as top-of-house risk and controls functions. Your role will involve navigating the full spectrum of Business Bank product and financial services design and delivery.
Who We're Looking For
- A passion for building market-leading commercial applications using state-of-the-art generative AI techniques to boost work productivity and deliver exceptional customer service.
- Enthusiasm for tackling new and challenging business problems in the field of AI.
- Adeptness in applying a combination of commercial and technical AI models to discover unique solutions that provide strategic business value.
- A collaborative spirit, eager to work with product teams, with a strong curiosity to solve real-world problems, and the courage to influence senior stakeholders positively using cutting-edge AI solutions.
Technical Skills and Experience
While we don't expect mastery of all tools, experience or exposure to Generative AI, agents, AI, and machine learning is highly beneficial.
- Generative AI Hands-on Delivery Experience: Demonstrated success in applying generative AI in production environments.
- AI Expertise: Proficient in prompt engineering, retrieval-augmented generation (RAG), design, safety guardrails, and frameworks like LangChain, LangGraph, and LlamaIndex.
- Cloud Platforms: Experience with AWS Bedrock, SageMaker, Microsoft Azure OpenAI, or similar platforms.
- GenAI and AI Models: Proven experience in developing, deploying, and monitoring generative AI and AI models on AWS infrastructure.
- LLM Models: Proficiency in leveraging large language models (LLMs) for diverse business applications.
- Machine Learning Experience: Expertise in designing and building machine learning models.
- Statistical Machine Learning and Big Data: Strong skills in statistical machine learning using Python and SQL for big data analysis.
Commitment to Inclusion and Diversity
CommBank is dedicated to fostering a culture of inclusion and respect, celebrating all cultures, abilities, genders, gender expressions, and sexual orientations. Learn more about our commitment to inclusion and diversity.
Flexible Working
We support our people with the flexibility to balance where work is done, with at least half of your time spent connecting in the office each month. We offer various flexible working options, including adjusted start and finish times, part-time arrangements, and job sharing. We encourage you to discuss how these arrangements might suit you.
Accessibility Support
We are committed to being an accessible employer. If you encounter any accessibility issues or require additional support during the application process, please contact HR Direct on 1800 989 696. We are aware of potential accessibility issues on this site, especially for screen reader users.
Key skills/competency
Data Scientist, Generative AI, Agentic AI, Machine Learning, Python, SQL, LLM Models, Prompt Engineering, AWS, RAGHow to Get Hired at Commonwealth Bank
- Tailor your resume: Highlight your Generative AI, Agentic AI, and Machine Learning experience. Quantify your achievements with specific examples of deployed models.
- Showcase technical skills: Emphasize your proficiency in Python, SQL, LLMs, prompt engineering, RAG, and cloud platforms like AWS.
- Demonstrate business acumen: Articulate how your AI solutions add strategic value and improve customer interactions within a business banking context.
- Prepare for behavioral questions: Be ready to discuss your collaborative approach, problem-solving skills, and ability to influence stakeholders.
- Understand CommBank's values: Research their commitment to inclusion, diversity, and customer-centricity to align your application.
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