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About the Role
As a Data Scientist, you will be curious, analytically capable, and excited about learning AI-native ways of working. You'll build upon your foundations in data science, Python, and SQL while learning to combine them with AI tools central to our team's operations.
Responsibilities
- Apply Data Science methodology, including feature engineering, model development, and testing with attention to quality.
- Build AI-native analytical solutions, moving from simple AI assistance through to agentic workflows, contributing to our agentic maturity framework with guidance from senior team members.
- Apply and critically evaluate AI outputs, using AI tools daily to enhance workflows and developing the skill of knowing when to trust, refine, or override AI-generated content.
- Contribute technically across the data lifecycle, working across data extraction, cleaning, feature engineering, and model development using cloud platforms such as GCP, Azure, and AWS.
- Design scalable, reusable approaches, creating specifications for engineering teams to implement and building analytical solutions applicable across different business challenges.
- Collaborate and share knowledge across teams, working alongside analysts, engineers, and product specialists across geographies, sharing learnings and contributing to AI-native practices.
- Support delivery and continuous improvement, contributing to project delivery, helping resolve analytical questions, and suggesting improvements to processes, timelines, and methods.
Requirements
- 1-5 years of experience in data science, AI/ML development, or technical consulting.
- Strong Python and SQL programming skills for data analysis and manipulation.
- Solid understanding of data science fundamentals: data preparation, modelling approaches, and validation methods.
- Familiarity with version control and documentation practices.
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
- Strong communicator, able to explain complex technical concepts clearly to non-technical audiences.
- Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in work or studies, or genuine enthusiasm and a clear willingness to learn.
- Understanding of ML/AI fundamentals, including how LLMs work, transformer architectures, and when to apply different approaches.
Skills
- Data Science
- AI/ML Development
- Technical Consulting
- Python
- SQL
- Data Preparation
- Modelling Approaches
- Validation Methods
- Version Control
- Documentation Practices
- Cloud Platforms (AWS, Azure, GCP)
- Communication
- AI Tools (Claude, ChatGPT, GitHub Copilot)
- LLMs
- Transformer Architectures
Location
- 14 locations globally
Work Type
- Hybrid
- Flexible work arrangements
- Remote working (up to 30 days per year)
Experience Level
- 1-5 years
Benefits
- Flexible work arrangements
- Continuous learning opportunities
- Remote working allowance
About the Company
- Quantium is a world leader in data science and artificial intelligence, established in Australia in 2002.
- Quantium is a global team of more than 1,200 people across 14 locations.
- Quantium offers a unique blend of capabilities across product and consulting services.
- Quantium partners with the world's largest corporations to forge a better, more intelligent world.
- Product Analytics has embraced AI-native ways of working and is moving from adoption to transformation.
- Quantium has developed an agentic maturity framework.