Marketing Data Science Role
This position involves playing a pivotal role in shaping real-time decision-making across digital and brand advertising, customer marketing, and owned digital channels.
About The Marketing Analytics Position
We're looking for a highly skilled data scientist to partner with our marketing and digital teams to design, build, and optimise advanced analytics and machine learning models. Your work will directly impact member engagement, growth, and retention by enabling smarter targeting, personalised experiences, and predictive insights.
Key Responsibilities
Collaborate with marketing and digital teams to scope and prioritise analytics use cases.
Develop models for segmentation, propensity scoring, and life event prediction.
Build real-time 'next best experience' models for personalised content and product actions.
Operationalise models in partnership with data, IT, and marketing teams.
Evaluate build vs. buy decisions for AI platforms and model development.
Forecast media and marketing impact on commercial outcomes.
Translate complex data insights into clear, actionable visualisations for stakeholders.
Ensure compliance with industry standards and reporting protocols.
About You
Essential qualifications include excellent communication skills, top-notch interpersonal skills, and the ability to pick up problems and come up with quick, creative solutions. Additionally, you should have:
Experience in a similar position, either in-house or at a digital agency.
Supported full-funnel performance media strategies that drive customer acquisition and retention, not just channel metrics.
Confidence working across digital advertising products like Search, Social, Display, and Affiliates.
Used marketing and advertising technologies such as Google Marketing Platform, Adobe, Meta, and Customer Data Platforms to deliver results.
Leveraged analytics platforms and data-driven insights to plan, execute, and measure media performance.
Managed internal stakeholders and aligned them to shared objectives.
Worked with vendors or third parties to deliver outcomes within agreed constraints.