Principal Data Scientist Jobs (No ghost jobs, direct from employers)
- 106 companies
- $209K median pay
- 2% remote
Open principal data scientist jobs from company career pages and job boards, checked every hour. Every posting shows pay where listed, how long it has been up, company reviews and whether it looks like a ghost job.
173 jobs found
- 3 days agoLow ghost riskCommonwealth BankOn-siteSydney, State of New South Wales$150K - 220KLead
- 6 days agoLow ghost riskZillowRemote$173K - 291KLead
- 1 week agoLow ghost riskMicrosoft CorporationOn-siteRedmond$140K - 275KLead
- 1 week agoLow ghost riskMicrosoft CorporationOn-siteMountain View$188K - 304KLead
- 14 hours agoLow ghost riskMicrosoft CorporationOn-siteRedmond, WA$143K - 275KLead
- 1 day agoLow ghost riskHome DepotOn-siteAtlanta, GA$180K - 240KLead
- 2 days agoLow ghost riskMicrosoft CorporationOn-siteRiyadh$180K - 250KLead
- 1 week agoLow ghost riskHaleon Plc.On-siteLondon$120K - 180KLead
- 1 week agoLow ghost riskHaleon Plc.On-sitePoznan$120K - 180KLead
- 1 week agoLow ghost riskFidelity InvestmentsOn-siteBoston, MA$126K - 255KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteNJ$220K - 280KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteSilicon Valley, CA$220K - 300KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteBoston, MA$220K - 300KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteSouthern California, Southern California$220K - 320KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteSan Francisco, CA$220K - 300KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteChicago, IL$220K - 280KLead
- 1 week agoModerate ghost riskMcKinseyOn-siteRaleigh, NC$220K - 320KLead
- 14 hours agoLow ghost riskRobloxOn-siteSan Mateo, CA$323K - 374KLead
- 1 day agoLow ghost riskMicrosoft CorporationOn-siteWashington, DC$143K - 275KLead
- 1 day agoLow ghost riskMicrosoft CorporationOn-siteReston, VA$143K - 275KLead
Principal Data Scientist
Commonwealth Bank3 days agoOn-siteSydney, State of New South Wales$150K - 220KLead
Why this job matches
See how well your resume fits this job and what it is missing.
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: 22/11/2026
Company Reviews
Employee reviews3.6
8,667 Reviews- Friendly and flexible2026-03-09T16:25:14.087
Pros: Flexible hybrid-work philosophy Friendly team Well-stocked office kitchen
Cons: Work can be a little dull Pay not stellar
- Good work culture2026-03-06T06:23:10.257
Pros: Good Pay and Leaves Nice Work culture
Cons: Long working Hours Biased Work environment
- Good pay2026-03-04T03:05:18.397
Pros: Good pay and good manager
Cons: Call centres : some customers may be rude
Related jobs by role, place and level
Every page lists all openings, with likely ghost jobs flagged. Checked every hour.
Frequently asked questions about principal data scientist jobs
What is a ghost job?
A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.
You spend an evening tailoring an application, and nobody on the other side is looking for you.
What do principal data scientist jobs pay?
Across the postings here that list pay, the median is about $209,000 a year. About 4 in 10 of these postings list a pay range; the rest show an estimate, marked as one.
How many principal data scientist jobs are there?
At our last count there were about 170 open postings from about 110 employers. The list on this page is live, so the count above it is the current one.
How does Enhancv spot a ghost job?
Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.
How fresh are the job postings?
Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.







