Senior Data Scientist | 12 - Month Contract
Location: Melbourne (Hybrid – 3 days in office)
Daily Rate: $1000–$1150
The contract is 12 months, with view to either extend or convert into a permanent role beyond the initial year.

Join an award-winning industry leader operating across Australia and New Zealand, with a strong project pipeline across Data and AI. This is an excellent opportunity to work in a fast-paced, agile environment with high visibility and ownership.
We are seeking a Senior Data Scientist to lead data-driven initiatives, develop advanced analytics solutions, and contribute to the strategic direction of the business through insight-led decision-making. You will collaborate with a range of teams including marketing, sales, legal, and operations, using data to uncover opportunities and drive meaningful outcomes.

Key Responsibilities:

• Analyse large datasets using statistical methods and machine learning techniques to identify trends, patterns, and actionable insights.
• Design and deploy predictive models to forecast key business metrics such as sales performance, customer behaviour, and supply chain activity.
• Translate complex findings into accessible insights through data visualisation and storytelling, tailored to both technical and non-technical audiences.
• Provide data-driven recommendations to senior stakeholders to support strategic planning and business decisions.
• Work closely with cross-functional teams to deliver and embed data solutions within business processes.
• Mentor junior team members and contribute to building a strong, collaborative data culture.
• Stay current with emerging tools, techniques, and technologies in data science and advanced analytics.

Technology and Tools:

• Azure Stack
• Python, SQL, optimisation engines
• Salesforce, SAP, SuccessFactors

Key Skills and Experience:

• A strong blend of software engineering and statistical expertise, with end-to-end delivery capability
• Demonstrated experience in developing, testing, deploying, and maintaining data models
• Proficiency in Python or R, and familiarity with cloud platforms such as Azure, AWS, or Google Cloud
• Excellent communication and stakeholder engagement skills
• A self-starter who is comfortable working autonomously in a project-based, fast-paced setting
• Industry experience is flexible; exposure to consumer goods or beverage sectors would be advantageous

Team and Culture:
You will join a growing data function across Data Science, Engineering, and Architecture. The team operates with a start-up mindset and values speed, delivery, and independent thinking.

What You'll Gain:

• Full ownership of your work
• Exposure to varied business units and stakeholder groups
• A role that offers variety, visibility, and the chance to solve real business problems using data

To Apply:
If you meet most of the criteria but not all, and believe this role aligns with your career goals, we still encourage you to apply!

Shortlisted candidates will be contacted by phone within a week. Unsuccessful applicants will be notified via email.

Please send your CV or enquiries to: [email protected]

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