Senior Data Scientist

h2o.ai; Sydney; Hybride; AUD 150 000 - 210 000; Plein temps

Avantages offerts par ce poste

Remote-friendly culture

Flexible working environment

Career growth

Total rewards

Résumé du poste

H2O.ai is seeking a Senior Data Scientist based in Sydney, Australia, to work with APAC’s leading organizations. You will move AI from curiosity to value, delivering predictive and generative AI solutions across industries while collaborating with executives and business stakeholders.

You will join a world‑class team and leverage H2O.ai’s AutoML, LLM Studio, and agentic AI tooling to drive real outcomes. This role involves direct engagement with customers and cross‑functional teams to

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

ML foundations

GenAI

MLOps

Data science

Outils

Python

Pandas

SciKit-Learn

LLMs

RAG

Description du poste

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.

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