Principal Data Scientist

Posted 2 Days Ago
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Area, Viveiro, Lugo, Galicia, ESP
In-Office
Expert/Leader
Fintech • Financial Services
The Role
Lead the design, development, deployment, and monitoring of GenAI, agentic AI, and machine learning solutions for financial crime prevention and investigation. Provide technical leadership across cross-functional teams, identify AI opportunities, guide reusable solutions, and drive adoption and business outcomes. The role requires expertise in NLP, model development, MLOps, cloud deployment, data engineering, CI/CD, and responsible AI practices.
Summary Generated by Built In

Business & Team: Financial Crime AI Team, COO


See yourself in our team:

At the heart of the Chief Operations Office, we’re driving CBA’s ambition to detect, deter and ultimately eliminate financial crime through the power of transformative AI solutions. 

As a Principal Data Scientist in Financial Crime domain, you’ll be a hands-on technical leader working in cross-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions. You’ll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning in the team, and translating complex ideas into high-impact outcomes for our customers and colleagues. You’ll contribute strongly to guide the team on technically demanding problems across Fin Crime domain as AI continues to evolve.


If you’re passionate about shaping the future of AI while helping others thrive, we’d love you to lead with us.


Key Responsibilities:

  • Lead GenAI and Agentic system design and development: Prototype, design, develop, deploy and design monitoring for innovative GenAI and Agentic solutions that transform the prevention, detection and investigation of Financial Crime in the bank while setting technical direction and best practices across the domain.
  • Develop and implement Machine Learning Models: Prototype, design, build, deploy and monitor a variety of machine learning models 
  • Expand Data/AI Science Usage: Identify potential AI opportunities across Fin Crime for future focus
  • Drive Continuous Improvement and Business Outcomes: Work closely with financial crime stakeholders to understand risk and operational pain points, driving adoption of AI and GenAI to enhance detection, improve investigative outcomes, and shape the future operating model

We’re interested in hearing from people with the following skills.


Technical Leadership and Coordination:

  • Ability to coordinate effectively across the Fin Crime and COO Data Science community to unify efforts and drive collaborative outcomes.
  • Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group.
  • Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts 

Technical Skills and Tools:

  • Generative AI: Experience designing and deploying various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, skills, evals frameworks, and tools such as LangChain and LangGraph.
  • Machine Learning: Expertise in the design and construction of machine learning models, including natural language processing, unsupervised clustering and classification algorithms including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of models into production environments.
  • 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.
  • 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.

Working with us:  

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.


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.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 29/10/2026

Skills Required

  • Experience designing and deploying Generative AI solutions, including prompt engineering, RAG, guardrails, orchestration, skills, and evaluation frameworks
  • Experience with LangChain and LangGraph
  • Expertise designing and building machine learning models
  • Experience with natural language processing, clustering, and classification algorithms
  • Experience with feature engineering, model selection, hyperparameter tuning, and model evaluation
  • Experience deploying and monitoring machine learning models in production
  • Experience coordinating technical work across data science communities and cross-functional teams
  • Experience with version control and CI/CD pipelines, such as GitHub
  • Hands-on experience with Spark, Python, R, TensorFlow, PyTorch, and SQL
  • Knowledge of ETL processes and data pipeline construction
  • Familiarity with Docker for containerization and application deployment
  • Understanding of AWS or Azure cloud architecture and integration
  • Ability to provide technical leadership, learn emerging technologies, and drive reusable solutions

Commonwealth Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commonwealth Bank and has not been reviewed or approved by Commonwealth Bank.

  • Leave & Time Off Breadth — The bank offers additional Life Leave, the option to purchase up to four extra weeks, pet leave, and paid volunteering leave alongside flexible-working options. Public materials indicate these leave features compare well within Australian banking.
  • Parental & Family Support — Permanent employees can access up to 18 weeks of paid parental leave, and superannuation is paid for up to 34 weeks of unpaid parental leave. These provisions extend support for new parents beyond standard settings.
  • Wellbeing & Lifestyle Benefits — Access includes CBHS Health Fund, Fitness Passport, a 24/7 wellbeing platform with telehealth, an Employee Assistance Program, and employer‑paid income protection for up to two years, alongside staff banking perks and share plans. This combination provides day‑to‑day value across health, protection, and financial perks.

Commonwealth Bank Insights

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The Company
HQ: Sydney, New South Wales
52,000 Employees
Year Founded: 1911

What We Do

Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.

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