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Whizdom

Data Scientist

Whizdom
Australia · Contract · Mid-Senior

About Our Client


Our client is a globally recognised consulting powerhouse with a strong presence across key markets in North America, Europe, Asia-Pacific, and Australia. With tens of thousands of professionals worldwide, they are known for delivering cutting-edge solutions across sectors including banking, financial services, government, and telecommunications. Their reputation is built on innovation, deep industry expertise, and a commitment to solving complex business challenges using advanced technologies. They offer a dynamic, inclusive, and forward-thinking environment where data and AI are at the heart of transformation.


About the Role


We are seeking a highly skilled Data Scientist to join a high-performing team on a 12-month contract (with potential for extension). This role is ideal for someone who thrives in a fast-paced, cloud-native environment and is passionate about solving real-world problems using data.

You’ll work with large-scale datasets and cutting-edge AWS technologies including SageMaker, Glue, EMR, and Redshift. Your responsibilities will span from data preparation and automation to deploying scalable machine learning solutions and supporting decision-making through analytics.


Key Highlights:


  • Immediate start (or up to 2 weeks’ notice for the right candidate)
  • Daily rate: AUD $950 a day
  • Work on high-impact projects in the banking and financial services sector
  • Collaborate with cross-functional teams and stakeholders
  • Contribute to responsible AI practices and CI/CD pipelines


The Successful Candidate


You are a problem-solver with a growth mindset, passionate about data and its potential to drive business value. You bring a strong technical foundation and are comfortable navigating both the technical and business sides of a project.

You will have:


  • Proficiency in Python, R, SQL, and experience with Spark or Snowflake
  • Hands-on experience with AWS services: SageMaker, Glue, EMR, S3, Redshift, DocumentDB
  • Familiarity with MLOps, model lifecycle management, and cloud architecture
  • Experience in financial services, ideally with exposure to financial crime and transaction monitoring
  • Strong communication skills and the ability to engage with both technical and non-technical stakeholders


Candidates CVs will be prioritized if you have:


  • Experience in GenAI, prompt engineering, and responsible AI
  • Exposure to data product frameworks and design thinking

You are diligent, collaborative, and adaptable—someone who can balance technical depth with business impact.


What is on offer?


This is a rare opportunity to join a prestigious consulting firm and work with leading financial institutions on transformative data initiatives.


You’ll enjoy:


  • A competitive daily rate and long-term contract stability
  • Access to world-class technology platforms and cloud infrastructure
  • Opportunities for learning and development, including exposure to GenAI and MLOps
  • A collaborative environment with talented colleagues and supportive leadership
  • The chance to make a tangible impact in high-profile, data-driven projects

Key Skills

Ranked by relevance

cloud aws ai machine learning python spark mlops cicd sql s3
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Posted
Aug 21, 2025
Type
Contract
Level
Mid-Senior
Location
Sydney
Company
Whizdom

Industries

Banking IT Services IT Consulting

Categories

Information Technology

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