In-Demand Data scientist Jobs in Parramatta Nsw

Data Scientist
Tabcorp —Sydney NSW
- Full-time
- SQL
- AWS
- Machine learning
- Parental leave
Lead Data Analytics & Infrastructure Developer (Power BI)
The Argyle Network —Sydney NSW
- $120,000 a year
- Full-time
- Hybrid work
- AWS
- Scripting
- Leadership
Senior AI/ML Solution Architect, ANZ Public Sector
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Computer science
- Doctoral degree
- Sales
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
AI Engineering Manager
Axsys —Sydney NSW
- Computer Science
- Master's degree
- AWS
- Parental leave
Principal AI Engineer
MYOB —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Principal Data Consultant (Advanced Analytics & AI)
Intelligen Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Quick Apply
AI Solutions Architect
Neo4j —Sydney NSW
- Azure
- Master's degree
- SQL
2d
Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)
TikTok —Sydney NSW
- Master's degree
- Machine learning
- AI
Senior AI Engineer
MYOB —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Machine Learning Engineer (AI & Computer Vision)
Nearmap —Barangaroo NSW
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Free food
Quick Apply
Associate Director - AI Engineer
Deloitte —Sydney NSW
- Azure
- Computer Science
- DevOps
- Parental leave
Principal AI Engineer
Axsys —Sydney NSW
- Computer Science
- Master's degree
- AWS
- Parental leave
AI Solutions Architect
Baptistcare WA —Sydney NSW
- Full-time
- Hybrid work
- AWS
- No degree
- AI
5d
Pioneer Talent Program - AI Agent Engineer
Binance —Sydney NSW
- Full-time
- Remote
- Computer Science
- Master's degree
- Databases
Quick Apply
Planning Analytics Engineer
Pyramid Global Technologies —Sydney NSW
- Administrative experience
- SQL
- Communication skills
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Senior HPA Architect (High-Performance Architecture & AI Practice)
World Wide Technology Holding, LLC —Sydney NSW
- Full-time
- Business development
- Presentation skills
- AI
- Profit sharing
- Wellness program
Chapter Area Lead (Executive Manager) - Home Buying AI
Commonwealth Bank —Sydney NSW
- Full-time
- Computer science
- Azure
- SQL
4d
Senior Machine Learning Engineer - Australia
Neara —Sydney NSW
- Full-time
- Hybrid work
- Machine learning

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Data Scientist

Tabcorp -
Sydney NSW

Apply Now

Job Details

Permanent | Full-time

Benefits

Parental leave

Qualifications

CI/CD
Statistics
Data modelling
SQL
AWS
Machine learning

Full Job Description

Data Scientist

508749

Sydney (Eora Nation), NSW, Australia

Data, Analytics & Statistics

Full Time - Permanent

Ever wondered how data and intelligent systems power smarter decisions at scale?

Join our Trading and Data team where your work will directly influence how we optimise experiences, improve performance, and drive real business impact. Whether you thrive on building predictive models or engineering the systems that bring them to life, this is your chance to apply advanced data science and machine learning engineering in a fast-paced, high-impact environment where innovation is encouraged, and ideas turn into production.

Your role in action

As a Data Scientist within our Trading and Data team, you will play a key role in shaping how we use data and intelligent systems to make smarter decisions. Reporting into a senior leader, you will lead end-to-end machine learning initiatives — from experimentation through to production — delivering models and systems that directly influence customer experience and measurable business impact.

Lead end-to-end machine learning projects from problem framing through to production deployment and monitoring
Build, optimise, and maintain machine learning models solving complex business problems involving customer propensity, lifetime value, and behavioural segmentation
Design and implement scalable ML pipelines, feature stores, and model serving infrastructure
Translate data insights into clear, actionable recommendations for stakeholders
Collaborate with engineering and product teams to integrate models into production systems with reliability and performance in mind
Drive experimentation, statistical analysis, and A/B testing to improve outcomes
Champion MLOps best practices including model versioning, monitoring, retraining, and CI/CD for ML
Mentor peers and contribute to best practice across data science and ML engineering ways of working

What you'll need to succeed

You're an experienced practitioner who operates across the spectrum of data science and ML engineering. You might lean more toward modelling or more toward systems — either way, you understand how to turn data into real outcomes that run reliably at scale. You bring strong technical capability, commercial thinking, and the confidence to influence and collaborate across teams.

Strong proficiency in Python and SQL for analysis, modelling, and pipeline development
Hands-on with machine learning frameworks such as scikit-learn, XGBoost
Experience with cloud platforms and ML tooling such as AWS, Databricks, MLflow, or similar
Solid understanding of statistics, experimentation, and data-driven decision making
Proven capability deploying and maintaining machine learning models in production environments
Experience building or contributing to ML infrastructure — pipelines, feature engineering, model serving, or monitoring
Familiarity with software engineering practices: version control, testing, CI/CD, containerisation
Ability to translate complex problems into practical, scalable solutions — whether that's a model, a system, or both
Background in a high-frequency, high-volume decision domain a bonus

Join the action, reap the rewards

Time for moments that matter - from birthdays to cultural leave, flexible public holidays, and 5 days bonus leave

18 weeks paid parental leave for every new parent, no matter your role

Ticketing to some of the country’s biggest racing and sports events.

Access to our leading wellbeing app and programs to help you be your best

A range of corporate discounts and special offers with leading retailers

A diverse and inclusive culture where everyone belongs

Get to know us

We’re Tabcorp - home to TAB, Sky Racing, and MAX, shaping the future of our industry through digital innovation and cutting-edge technology. With a strong retail presence and a growing digital footprint, we connect customers wherever they play. We’re innovators and big thinkers in a fast-paced, exciting sector, committed to safer gambling and responsible play. Here, you’ll belong where the action is and make Tabcorp your home ground.

Join the action

Ready to make Tabcorp your home ground? Join a team that thrives on collaboration, inclusion, respect, and face-to-face connection. We welcome and support people of all abilities - if you need adjustments during the process, email [email protected].

Apply Now

Apply Now

Refine Your Search

data scientist jobs in parramatta nsw

Data Scientist

Lead Data Analytics & Infrastructure Developer (Power BI)

Senior AI/ML Solution Architect, ANZ Public Sector

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

AI Engineering Manager

Principal AI Engineer

Principal Data Consultant (Advanced Analytics & AI)

AI Solutions Architect

Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)

Senior AI Engineer

Senior Machine Learning Engineer (AI & Computer Vision)

Associate Director - AI Engineer

Principal AI Engineer

AI Solutions Architect

Pioneer Talent Program - AI Agent Engineer

Planning Analytics Engineer

Senior Consultant - Data & Analytics (Open)

Senior HPA Architect (High-Performance Architecture & AI Practice)

Chapter Area Lead (Executive Manager) - Home Buying AI

Senior Machine Learning Engineer - Australia

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