In-Demand learning engineer / data scientist Jobs in sydney, nsw

Data Scientist - DDAI
Westpac Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
Principal Data Scientist
Commonwealth Bank —Eveleigh NSW
- Full-time
- Azure
- SQL
- AWS
3d
Senior AI Engineer
h2o.ai —Sydney NSW
- Full-time
- Azure
- Master's degree
- AWS
Quick Apply
AI Software Engineer (Full Stack) | Senior Associate | Digital Solutions
PWC Australia —Sydney NSW
- Azure
- Management
- Master's degree
- Annual leave
9d
Data Centre - Mechanical Engineer, Associate Director
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Leadership
Lead Software Engineer - AI Enablement
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Agile
- AI
- SDLC
- Annual leave
- Work from home
Senior Software Engineer (Big Data, Search)
Binance —Sydney NSW
- Full-time
- Remote
- Systems design
- Master's degree
- AI
Quick Apply
Lead AI Engineer - DDAI
Westpac —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
Senior Data Platform Engineer
ASC Employment Services Pty Ltd —Sydney NSW
- Full-time
- Azure
- SQL
- AWS
- Parental leave
- Employee assistance program
Quick Apply
Senior Engineering Geologist / Geotechnical Engineer I NSW
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Bachelor's degree
- Civil Engineering
- Communication skills
Senior Software Engineer II
RELX —Sydney NSW
- Full-time
- SQL
- AWS
- Health insurance
- Work from home
Senior Software Engineer, Internal Applications (AI Agent)
Binance —Sydney NSW
- Full-time
- Remote
- Databases
- AI
Quick Apply
Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)
Ember Advisors —Sydney NSW
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Analysis skills
Quick Apply
2d
Staff Backend Solution Architect Engineer
Heidi —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs
Water Servicing Coordinator (Engineer)
Stantec —St Leonards NSW
- Part-time
- Microsoft Word
- AutoCAD
- Microsoft Excel
- Employee assistance program
Chief Engineer
Commonwealth Bank —Sydney NSW
- Full-time
- AWS
- Machine learning
- Scripting
3d
Marketing Science Partner
Mutinex —Chippendale NSW
- Hybrid work
- Analytics
- Annual leave
- Work from home
Quick Apply
Marketing Analytics Lead
UpGuard —Sydney NSW
- $1,500 a year
- Full-time
- Remote
- Salesforce
- AI
- Leadership
- Annual leave
- Parental leave
12d
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Senior Water Servicing Coordinator (Engineer)
Stantec —St Leonards NSW
- Part-time
- Microsoft Word
- AutoCAD
- Microsoft Excel
- Employee assistance program

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learning engineer / data scientist jobs near sydney, nsw

Data Scientist - DDAI

Westpac Group -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Azure
Law
Computer vision
Master's degree
AWS
Machine learning
AI

Full Job Description

Sydney, Melbourne, Brisbane or Perth location
Hybrid working arrangement

Create better futures with the responsible use of GenAI

Join Westpac’s centralised Data, Digital & AI ( DDAI ) team and work hands-on with Generative AI and advanced machine learning to deliver real impact for customers and colleagues across the bank.

In this role, you’ll design, build, and deploy production-grade AI solutions end to end, working on meaningful business problems and seeing your work used at scale. You’ll collaborate closely with engineers, data scientists, and business stakeholders, applying modern data science techniques in a way that is practical, responsible, and customer focused.

If you’re a hands-on Data Scientist who enjoys building real solutions, learning fast, and contributing to how GenAI is applied safely and effectively in banking, this role offers the opportunity to make a genuine impact.

What’s the role?

We’re looking for a Data Scientist to join our AI Services team, where you’ll contribute directly to the delivery of machine learning and Generative AI solutions aligned to the bank’s strategic priorities.

You’ll work end to end on real business problems—helping translate ambiguous questions into analytical approaches, developing models and GenAI applications, and supporting deployment into production. You’ll apply strong technical skills while continuing to build depth across modelling, engineering collaboration, and responsible AI practices.

This role provides exposure to complex, high-impact use cases across the bank and the opportunity to grow your capability by working alongside experienced data scientists, engineers, and platform teams.

What do I need?

3 to 5 years of industry experience developing and deploying machine learning or data science solutions, with exposure to production environments.
Hands-on experience applying Generative AI and Large Language Models (LLMs) to real-world problems, or strong interest and demonstrated capability in this area.
Solid understanding of modern machine learning techniques, with exposure to deep learning and generative models considered an advantage.
Practical experience developing models using frameworks such as TensorFlow, PyTorch, or Keras.
Experience in one or more applied AI domains, such as: Natural Language Processing (NLP), LLMs and Generative AI, Text analytics and information extraction, or Computer vision or multimodal AI.
Experience building or experimenting with GenAI frameworks such as LlamaIndex, LangChain, AutoGen, DSPy, or similar.
Strong Python programming skills, with the ability to write clean, readable, and testable code.
Experience working with cloud platforms such as Azure or AWS, including running models or data pipelines in cloud environments.
Curiosity, strong problem-solving skills, and a commitment to ethical and responsible AI.

How will I help?

As a Data Scientist, you’ll help deliver high-quality, customer-centric AI outcomes through hands-on analysis, modelling, and experimentation and work with business partners to understand problems, explore data, and develop ML or GenAI solutions that create measurable value. You’ll support the translation of insights into action, helping teams adopt AI responsibly and effectively.

Additionally, you’ll also contribute to improving data science practices by sharing learnings, reusing patterns, and continuously developing your technical and domain expertise.

What you’ll be doing

Build, test, and support the deployment of machine learning and GenAI solutions, including LLM-powered applications.
Contribute to end-to-end data science work—from problem definition and data exploration to model development and validation.
Work closely with engineers and platform teams to ensure solutions are scalable, secure, and production-ready.
Analyse data and model performance, iterate on solutions, and incorporate feedback to improve outcomes.
Communicate insights and results clearly to both technical and non-technical stakeholders.
Follow and contribute to best practices for responsible, explainable, and maintainable AI.
Learn from more experienced team members while progressively taking ownership of larger or more complex workstreams.
Stay up to date with emerging techniques and tools in data science and GenAI, sharing learnings with the team.

Create your future today

To get started, simply click on the APPLY or APPLY NOW button.

We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website .

We’re all about helping our people grow and succeed. Whether you’re a current employee, trainee, or intern, we’re committed to your career development Check out our FAQs and internal support resources here.

Apply Now

Refine Your Search

learning engineer / data scientist jobs in sydney, nsw

Data Scientist - DDAI

Principal Data Scientist

Senior AI Engineer

AI Software Engineer (Full Stack) | Senior Associate | Digital Solutions

Data Centre - Mechanical Engineer, Associate Director

Lead Software Engineer - AI Enablement

Senior Software Engineer (Big Data, Search)

Lead AI Engineer - DDAI

Senior Data Platform Engineer

Senior Engineering Geologist / Geotechnical Engineer I NSW

Senior Software Engineer II

Senior Software Engineer, Internal Applications (AI Agent)

Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)

Staff Backend Solution Architect Engineer

Water Servicing Coordinator (Engineer)

Chief Engineer

Marketing Science Partner

Marketing Analytics Lead

Senior Consultant - Data & Analytics (Open)

Senior Water Servicing Coordinator (Engineer)

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