About the Role:
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We're seeking a seasoned Data Scientist to join our Personalisation team. As a key member of this high-performing unit, you'll be responsible for leading the development and deployment of cutting-edge AI systems that drive business outcomes.
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Working closely with AI Engineers, Product Managers, Designers, and fellow Data Scientists, you'll take ownership of end-to-end solutions from problem definition to model deployment. Your expertise will be instrumental in shaping our personalisation strategy and driving user engagement across our platforms.
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This is an exceptional opportunity to work on some of our most impactful challenges, including deep candidate representations, personalised user experiences, and adaptive data-driven content delivery. You'll thrive in an environment that values autonomy, collaboration, and innovation.
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Key Responsibilities:
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* Lead cross-functional initiatives to solve complex personalisation challenges aligned with our strategic objectives
* Collaborate closely with AI Product Managers, Software Engineers, and other Data Scientists to develop scalable and impactful solutions
* Take ownership of roadmap planning and technical direction for personalisation initiatives
* Influence the broader team through thought leadership, structured experimentation, and strong stakeholder engagement
* Design, build, and deploy machine learning models for large-scale personalisation systems
* Apply advanced techniques in model tuning, ranking, and system design to deliver measurable user and business outcomes
* Design and execute rigorous evaluation strategies, including offline metrics, A/B tests, and long-term performance monitoring
* Ensure that all models meet quality, fairness, and performance benchmarks before and after deployment
* Proactively identify and troubleshoot performance issues in production systems
* Drive data analysis to uncover insights that inform personalisation strategy and product development
* Translate complex analytical findings into actionable recommendations for product and engineering teams
* Support evidence-based decision making across the organisation through dashboards, documentation, and storytelling
* Mentor junior or mid-level data scientists and provide technical guidance, code reviews, and project leadership
Requirements:
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* 5+ years of experience in data science, machine learning, or applied AI roles
* Proven ability to lead the development and deployment of production-grade ML models
* Strong background in machine learning, statistics, and data analysis
* A Masters or PhD in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
* Proficiency in Python, SQL, and data science libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch
* Hands-on experience with deep learning, ranking algorithms, or personalisation frameworks
* Deep experience with A/B testing, experimental design, and model evaluation techniques
* Excellent communication skills, with the ability to influence technical and non-technical stakeholders
Benefits:
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* Annual Performance Bonus Plan
* Flexible working arrangements, including office and remote work options
* Paid and unpaid leave benefits, including Personal Flexi Days and Volunteer Days
* Support for parents, including 14 weeks paid primary carers leave and 2 weeks paid leave for partners
What We Offer:
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We're committed to fostering a culture of inclusion and wellbeing that values diversity and promotes employee growth. Our purpose is to help people live more fulfilling and productive working lives, and we're passionate about creating world-class technology solutions that make a positive impact.
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