In-Demand Machine learning engineer / data scientist Jobs

Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Lead AI Scientist
Rhino Partners Pty Ltd —Barangaroo NSW
- $180,000 - $200,000 a year
- Full-time
- Hybrid work
- Azure
- Management
- Patient monitoring
Quick Apply
5d
Data Scientist, People Analytics
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- AWS
- Machine learning
4d
Senior Machine Learning / ML Engineer
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Senior Data Scientist (hands-on & production focus)
FinXL —Sydney NSW
- $900 - $1,000 a day
- Contract
- Hybrid work
- SQL
- APIs
- AI
Principal Data Scientist
Fortescue —Perth WA
- Part-time
- AWS
- Analysis skills
- Machine learning
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Google Data Engineer - GCP
NCS Australia —Canberra ACT
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Data Scientist, Network Fabric Engineering
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Laboratory
- Research
- Master's degree
1d
Technical Support Team Lead
Babcock International —Henderson WA
- Machine learning
- AI
- Employee assistance program
2d
AI Engineer
h2o.ai —Sydney NSW
- Full-time
- AWS
- Machine learning
- APIs
Quick Apply
1d
Senior Signal Processing Engineer
ResMed —Bella Vista NSW
- Full-time
- Doctoral degree
- Engineering
- Data analysis skills
12d
Lead Data Scientist
Socialtrait —North Sydney NSW
- $150,000 - $170,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Senior AI Engineer
h2o.ai —Sydney NSW
- Full-time
- Azure
- Master's degree
- AWS
Quick Apply
Senior Data Engineer
Auto & General Holdings —Brisbane QLD
- SQL
- AWS
- Leadership
Quick Apply
Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Lead AI Engineer
h2o.ai —Sydney NSW
- Full-time
- Remote
- Systems design
- Master's degree
- AWS
Quick Apply
1d
Senior Data Scientist, People Analytics
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- AWS
- AI
4d
Senior Data Scientist
Commonwealth Bank —Sydney NSW
- Full-time
- AI
- Communication skills
- Analytics
11d
Associate Managing Consultant, Strategy and Transformation - Generative AI Engineer / Generative AI Data Scientist
Mastercard —St Leonards NSW
- Full-time
- Azure
- Computer Science
- Engineering

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Consultant - Data & Analytics (Open)

Synogize
Sydney NSW

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Job Details

Permanent | Full-time

Qualifications

Looker
Power BI
Data modelling
Computer Science
Tableau
SQL
Bachelor's degree
Machine learning
Data pipeline
Communication skills
Analytics
Information Technology

Full Job Description

Consultant - Data & Analytics

Are you passionate about data analytics and transformation? Do you thrive on developing data-driven solutions that empower businesses to achieve measurable success? If tackling challenges and delivering creative, impactful outcomes excites you, Synogize wants to connect with you!

We’re seeking an experienced consultant to join our growing team of Data & Analytics professionals in Melbourne/Sydney. To be eligible, applicants must have full working rights in Australia and a minimum of 3 years of industry experience in Data & Analytics.

About You

You are someone who:

Enjoys collaborating with clients to design tailored analytics solutions.
Thrives on solving technical challenges and optimizing data use.
Has a deep understanding of business problems and turns them into actionable insights and data models.
Seeks a long-term role that fosters both personal and company growth.
Delivers exceptional client experiences that add tangible business value.
Is committed to continuous learning and staying updated on the latest tools and trends in data analytics.
Has 3-5 years of experience in data analytics with a proven track record of driving customer success through data solutions.

Key Responsibilities

Data Modeling: Design, build, and maintain scalable data models for internal and client-specific analytics.
ETL Development: Collaborate with data engineers to create efficient ETL/ELT pipelines, transforming raw data into usable datasets.
Data Transformation: Use tools like dbt and coleasce for SQL-based transformations, delivering organized datasets for analysis.
Analytics Solutions: Ensure seamless integration of analytics tools (e.g., Tableau, Power BI, Looker) with data sources in collaboration with data analysts and BI teams.
Data Quality & Governance: Maintain data accuracy through automated testing and data governance protocols.
Client Engagement: Partner with clients to understand their challenges and translate them into technical solutions.
Collaboration: Work closely with data scientists, engineers, and business stakeholders to support data-driven decision-making.
Performance Optimization: Continuously monitor and improve the scalability and efficiency of data pipelines and models.

Required Skills & Experience

Proficiency in SQL and experience with modern data transformation tools (e.g., dbt, Coalesce).
Experience with cloud platforms like Snowflake, BigQuery, Fabric, or Databricks.
Advanced SQL skills (5+ years), including expertise in complex queries, stored procedures, and managing views.
Strong understanding of ETL/ELT processes.
Ability to build compelling data visualizations and dashboards using Tableau, Power BI, or Looker.
Excellent communication skills for explaining complex technical concepts to non-technical audiences.
Proven experience in designing and maintaining real-time analytics solutions.

Bonus Skills

Familiarity with machine learning or advanced data science techniques.
Passion for creating intuitive data visualizations that tell compelling stories.
Experience with data governance, ensuring data quality, security, and accuracy.

Required Qualifications

Valid permanent work visa, permanent residency, or Australian citizenship.
A Bachelor's or Graduate Degree in Computer Science, Data Science, Information Technology, or a related field.

About Synogize

At Synogize, we harness synergy and passion to drive success. Founded by Data & Analytics professionals, we pride ourselves on bridging the gap between people, processes, and technology to deliver innovative solutions. Our mission is to create transformative outcomes by aligning data, technology, and talent, helping organizations shape the future of innovation.

Next Steps

If this opportunity excites you, we’d love to hear from you! Please apply by submitting your resume.

Note to Recruitment Agencies: We have this role covered and do not accept unsolicited CVs. We are not responsible for any fees related to unsolicited resumes. Thank you.

Company Overview

Please visit https://synogize.io for more information

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