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Senior data scientist

Sydney
Hays
Data Scientist
Posted: 4 February
Offer description

Your New Company

You'll be joining a forward‑thinking organisation that places data at the heart of its decision‑making. The business is investing heavily in advanced analytics and is building a high‑performing Centre of Excellence to uplift capability, accelerate innovation, and unlock meaningful value across multiple domains. You'll work in a collaborative, curious, and fast‑moving environment where data science is seen as a strategic enabler, not a back‑office function.

Your New Role

As a Senior Data Scientist, you will take a leading role in shaping and delivering advanced analytics and machine learning solutions that directly influence business strategy. You'll work closely with stakeholders to understand their goals, identify impactful opportunities, and translate complex challenges into practical, data‑driven outcomes.

Your responsibilities will include:

* Developing advanced models
that solve complex problems and support strategic decision‑making.
* Analysing diverse datasets
to uncover trends, patterns, and insights that drive commercial and customer outcomes.
* Engaging with stakeholders
to frame business challenges into structured analytical questions and design solutions aligned with organisational priorities.
* Collaborating across teams
, sharing best practices, and contributing to a culture of continuous improvement within the analytics community.
* Documenting and communicating
methodologies, results, and recommendations in a clear, accessible way for both technical and non‑technical audiences.

What You'll Need to Succeed

* 5–8 years of hands‑on experience
building, deploying, and refining machine learning models and advanced statistical techniques.
* Strong programming skills
in Python and SQL, with deep experience using data manipulation, modelling, and visualisation libraries.
* Experience working in cloud environments
such as AWS, Azure, or GCP, along with familiarity in cloud‑native data science workflows.
* Strong business acumen
, with the ability to apply analytical thinking in a commercial context and influence decisions through data‑driven insights.
* Curiosity, creativity, and a proactive mindset
, with a passion for solving complex problems and delivering measurable impact.

What You Need to Do Now

If this opportunity aligns with your experience and ambition, take the next step and express your interest. Prepare an updated CV highlighting your technical expertise, project achievements, and examples of how you've influenced business outcomes through data science. Reach out to begin a confidential conversation about the role and how it could align with your career goals.

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