Full-Time Principal Data Scientist

The Role

As a Principal Data Scientist in our Generative AI team, you will be a strategic and technical leader at the forefront of SEEK’s AI evolution. Working on complex, high-impact problems, you’ll help set the direction for Generative AI initiatives across the business, from R&D to real-world application.

Reporting to the Head of Generative AI, you’ll work closely with data scientists, product managers, designers, and engineers to develop innovative GenAI solutions that power both internal workflows and customer-facing experiences.

You’ll drive frameworks, methods, and decision-making that influence SEEK’s global AI strategy.

You’ll also play a key leadership role—mentoring other data scientists, guiding cross-functional initiatives, and advocating for responsible and effective use of AI across the organisation.

What You’ll Do

• Lead the research, development, and deployment of Generative AI solutions aligned with SEEK’s strategic priorities.
• Shape SEEK’s AI strategy by applying your domain expertise to guide multiple high-value initiatives.
• Develop and curate datasets to train and evaluate models across various use cases.
• Design innovative approaches to open-ended, unstructured problems, defining appropriate metrics, methodologies, and evaluation frameworks.
• Champion best practices in responsible AI and clearly communicate technical concepts to non-technical stakeholders.
• Break down complex projects, manage timelines and priorities, and proactively remove roadblocks.
• Mentor and manage a team of data scientists, fostering a culture of continuous learning, innovation, and excellence.
• Influence executive stakeholders by translating deep technical insights into business-relevant recommendations.

Qualifications

• Essential Qualifications, Skills, and Experience
• MSc or PhD in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 8+ years of professional experience developing and delivering AI/ML solutions.
• Deep understanding of the theory and practice of building, training, evaluating, and optimising AI/ML models.
• Proven track record of leading impactful AI initiatives that deliver measurable business outcomes.
• Excellent communication, leadership, and influencing skills—including the ability to translate complex technical concepts into plain language and engage stakeholders at all levels, including executive leadership.
• Ability to adapt quickly and thrive in a dynamic, fast-evolving environment.

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