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Senior Data Scientist
Sydney, Australia
Live, first seen by us 15 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild, validate and deploy predictive ML models for forecasting, classification and anomaly detection
Perform end-to-end data science work, from data exploration to interpretation
Explore GenAI approaches such as LLMs, RAG and basic agentic workflows where relevant
Translate model outputs into actionable insights for business stakeholders
Collaborate with engineering teams on model productionisation
From the employer’s posting
Build, validate, and deploy predictive ML models for forecasting, classification, optimisation, and anomaly detection.
Perform end-to-end data science work including data exploration, feature engineering, modelling, evaluation, and interpretation.
Explore GenAI approaches where relevant, including LLMs, SLMs, RAG, prompt engineering, and basic agentic workflows.
Translate model outputs into actionable insights for business stakeholders.
Collaborate with engineering teams on model productionisation.
What you’ll bring
All qualificationsCore experience
- 4+ years of experience in data science, machine learning, or applied AI roles.
- Experience working with real-world datasets and business problem framing.
- Understanding of deployment/MLOps concepts.
- Strong communication, storytelling and presentation skills.
Qualification wording
4+ years of experience in data science, machine learning, or applied AI roles.
Experience working with real-world datasets and business problem framing.
Understanding of deployment/MLOps concepts.
Strong communication, storytelling and presentation skills.
About H2O.ai
We are looking for a Senior Data Scientist who thrives at the intersection of cutting-edge AI and real enterprise impact.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 29, 202615 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
H2O.ai is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic workflows. - Strong Python skills. - Understanding of deployment/MLOps concepts.
Your next step
Complete your application on h2oai.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH.
For more information, visit www.h2o.ai.
About This Opportunity
We are looking for a Senior Data Scientist who thrives at the intersection of cutting-edge AI and real enterprise impact. You will work directly with some of APAC's most sophisticated organisations - helping them move from AI curiosity to AI value, across the full spectrum of predictive and generative AI.
This is not a lab role. You will be in the room with executives, data science teams, and business stakeholders - building solutions, running enablement programs, and translating complex AI into outcomes that decision-makers can act on. You will be backed by a world-class team including Kaggle Grandmasters, and equipped with H2O.ai's industry-leading platform spanning AutoML, LLM Studio, and agentic AI tooling.
This position is based in Sydney, Australia.
What You Will Do
- Partner with stakeholders to deliver data-driven AI/ML solutions across industries such as banking, insurance, retail, healthcare, and manufacturing.
- Build, validate, and deploy predictive ML models for forecasting, classification, optimisation, and anomaly detection.
- Apply statistical and ML techniques (regression, trees, ensembles, time series, clustering) based on business needs.
- Explore GenAI approaches where relevant, including LLMs, SLMs, RAG, prompt engineering, and basic agentic workflows.
- Perform end-to-end data science work including data exploration, feature engineering, modelling, evaluation, and interpretation.
- Translate model outputs into actionable insights for business stakeholders.
- Collaborate with engineering teams on model productionisation.
What We Are Looking For
- 4+ years of experience in data science, machine learning, or applied AI roles.
- Strong predictive ML foundations (feature engineering, model selection, evaluation, interpretability).
- Experience working with real-world datasets and business problem framing.
- Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic workflows.
- Strong Python skills.
- Understanding of deployment/MLOps concepts.
- Strong communication, storytelling and presentation skills.
How to Stand Out From the Crowd
- H2O product experience.
- Kaggle competition experience or equivalent applied ML work.
- Cloud or production ML exposure.
- A/B testing or causal inference experience.
- SLM or agentic AI exposure.
- Open-source, research, or technical writing.
- Client-facing experience: scoping problems, managing expectations, and delivering solutions with customer teams.
Why H2O.ai?
- Market leader in total rewards
- Remote-friendly culture
- Flexible working environment
- Be part of a world-class team
- Career growth
H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
Please visit www.H2O.ai to learn more.
#LI-Hybrid
For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our Candidate Privacy Notice.
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sydney, Australia
- Market leader in total rewards - Remote-friendly culture - Flexible working environment
More source context
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Hybrid For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our Candidate Privacy Notice.
- Work authorization
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